Issues with setup via pip on colab.

Open santosh-r24 opened this issue 10 months ago • 0 comments

I am trying to run inference via L4 instance on colab and I am coming across this error of ImportError: cannot import name 'Cache' from 'transformers' (/usr/local/lib/python3.11/dist-packages/transformers/__init__.py)

!python /content/MuseV/scripts/inference/text2video.py \
   --sd_model_name majicmixRealv6Fp16 \
   --unet_model_name musev \
   -test_data_path /content/MuseV/configs/tasks/vegeta_task.yaml \
   --vae_model_path /content/MuseV/checkpoints/vae/sd-vae-ft-mse \
   --output_dir /content/output \
   --n_batch 1 \
   --time_size 12 \
   --fps 12

Getting this error

The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.
0it [00:00, ?it/s]
2025-02-04 16:04:06.676396: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
E0000 00:00:1738685046.999070   16881 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
E0000 00:00:1738685047.079683   16881 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:
    PyTorch 2.0.1+cu118 with CUDA 1108 (you have 2.1.0+cu121)
    Python  3.11.4 (you have 3.11.11)
  Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers)
  Memory-efficient attention, SwiGLU, sparse and more won't be available.
  Set XFORMERS_MORE_DETAILS=1 for more details
error: XDG_RUNTIME_DIR not set in the environment.
ALSA lib confmisc.c:855:(parse_card) cannot find card '0'
ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_card_inum returned error: No such file or directory
ALSA lib confmisc.c:422:(snd_func_concat) error evaluating strings
ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
ALSA lib confmisc.c:1334:(snd_func_refer) error evaluating name
ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
ALSA lib conf.c:5701:(snd_config_expand) Evaluate error: No such file or directory
ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM default
ALSA lib confmisc.c:855:(parse_card) cannot find card '0'
ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_card_inum returned error: No such file or directory
ALSA lib confmisc.c:422:(snd_func_concat) error evaluating strings
ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
ALSA lib confmisc.c:1334:(snd_func_refer) error evaluating name
ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
ALSA lib conf.c:5701:(snd_config_expand) Evaluate error: No such file or directory
ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM default
args
{'add_static_video_prompt': False,
 'context_batch_size': 1,
 'context_frames': 12,
 'context_overlap': 4,
 'context_schedule': 'uniform_v2',
 'context_stride': 1,
 'cross_attention_dim': 768,
 'face_image_path': None,
 'facein_model_cfg_path': '/content/MuseV/scripts/inference/../.././configs/model/facein.py',
 'facein_model_name': None,
 'facein_scale': 1.0,
 'fix_condition_images': False,
 'fixed_ip_adapter_image': True,
 'fixed_refer_face_image': True,
 'fixed_refer_image': True,
 'fps': 12,
 'guidance_scale': 7.5,
 'height': None,
 'img_length_ratio': 1.0,
 'img_weight': 0.001,
 'interpolation_factor': 1,
 'ip_adapter_face_model_cfg_path': '/content/MuseV/scripts/inference/../.././configs/model/ip_adapter.py',
 'ip_adapter_face_model_name': None,
 'ip_adapter_face_scale': 1.0,
 'ip_adapter_model_cfg_path': '/content/MuseV/scripts/inference/../.././configs/model/ip_adapter.py',
 'ip_adapter_model_name': None,
 'ip_adapter_scale': 1.0,
 'ipadapter_image_path': None,
 'lcm_model_cfg_path': '/content/MuseV/scripts/inference/../.././configs/model/lcm_model.py',
 'lcm_model_name': None,
 'log_level': 'INFO',
 'motion_speed': 8.0,
 'n_batch': 1,
 'n_cols': 3,
 'n_repeat': 1,
 'n_vision_condition': 1,
 'need_hist_match': False,
 'need_img_based_video_noise': True,
 'negative_prompt': 'V2',
 'negprompt_cfg_path': '/content/MuseV/scripts/inference/../../configs/model/negative_prompt.py',
 'noise_type': 'video_fusion',
 'num_inference_steps': 30,
 'output_dir': '/content/output',
 'overwrite': False,
 'prompt_only_use_image_prompt': False,
 'record_mid_video_latents': False,
 'record_mid_video_noises': False,
 'redraw_condition_image': False,
 'redraw_condition_image_with_facein': True,
 'redraw_condition_image_with_ip_adapter_face': True,
 'redraw_condition_image_with_ipdapter': True,
 'redraw_condition_image_with_referencenet': True,
 'referencenet_image_path': None,
 'referencenet_model_cfg_path': '/content/MuseV/scripts/inference/../.././configs/model/referencenet.py',
 'referencenet_model_name': None,
 'save_filetype': 'mp4',
 'save_images': False,
 'sd_model_cfg_path': '/content/MuseV/scripts/inference/../../configs/model/T2I_all_model.py',
 'sd_model_name': 'majicmixRealv6Fp16',
 'seed': None,
 'strength': 0.8,
 'target_datas': 'all',
 'test_data_path': '/content/MuseV/configs/tasks/vegeta_task.yaml',
 'time_size': 12,
 'unet_model_cfg_path': '/content/MuseV/scripts/inference/../.././configs/model/motion_model.py',
 'unet_model_name': 'musev',
 'use_condition_image': True,
 'vae_model_path': '/content/MuseV/checkpoints/vae/sd-vae-ft-mse',
 'video_guidance_scale': 3.5,
 'video_guidance_scale_end': None,
 'video_guidance_scale_method': 'linear',
 'video_negative_prompt': 'V2',
 'video_num_inference_steps': 10,
 'video_overlap': 1,
 'vision_clip_extractor_class_name': None,
 'vision_clip_model_path': './checkpoints/ip_adapter/models/image_encoder',
 'w_ind_noise': 0.5,
 'width': None,
 'write_info': False}


running model, T2I SD
{'majicmixRealv6Fp16': {'sd': '/content/MuseV/configs/model/../../checkpoints/t2i/sd1.5/majicmixRealv6Fp16'}}
lcm:  None None
unet_model_params_dict_src dict_keys(['musev', 'musev_referencenet', 'musev_referencenet_pose'])
unet:  musev /content/MuseV/configs/model/../../checkpoints/motion/musev
referencenet:  None None
ip_adapter:  None None
facein:  None None
ip_adapter_face:  None None
video_negprompt V2 badhandv4, ng_deepnegative_v1_75t, (((multiple heads))), (((bad body))), (((two people))), ((extra arms)), ((deformed body)), (((sexy))), paintings,(((two heads))), ((big head)),sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans, (((nsfw))), nipples, extra fingers, (extra legs), (long neck), mutated hands, (fused fingers), (too many fingers)
negprompt V2 badhandv4, ng_deepnegative_v1_75t, (((multiple heads))), (((bad body))), (((two people))), ((extra arms)), ((deformed body)), (((sexy))), paintings,(((two heads))), ((big head)),sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans, (((nsfw))), nipples, extra fingers, (extra legs), (long neck), mutated hands, (fused fingers), (too many fingers)
n_test_datas 1
2025-02-04 16:04:17,597- musev:887- INFO- vision_clip_extractor, None
test_model_vae_model_path /content/MuseV/checkpoints/vae/sd-vae-ft-mse
Keyword arguments {'torch_device': 'cuda'} are not expected by MusevControlNetPipeline and will be ignored.
Loading pipeline components...:  17% 1/6 [00:00<00:03,  1.47it/s]
Traceback (most recent call last):
  File "/content/MuseV/scripts/inference/text2video.py", line 977, in <module>
    sd_predictor = DiffusersPipelinePredictor(
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/content/MuseV/musev/pipelines/pipeline_controlnet_predictor.py", line 243, in __init__
    pipeline = MusevControlNetPipeline.from_pretrained(**params)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/content/MuseV/diffusers/src/diffusers/pipelines/pipeline_utils.py", line 1258, in from_pretrained
    maybe_raise_or_warn(
  File "/content/MuseV/diffusers/src/diffusers/pipelines/pipeline_utils.py", line 305, in maybe_raise_or_warn
    unwrapped_sub_model = _unwrap_model(sub_model)
                          ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/content/MuseV/diffusers/src/diffusers/pipelines/pipeline_utils.py", line 280, in _unwrap_model
    from peft import PeftModel
  File "/usr/local/lib/python3.11/dist-packages/peft/__init__.py", line 22, in <module>
    from .auto import (
  File "/usr/local/lib/python3.11/dist-packages/peft/auto.py", line 32, in <module>
    from .mapping import MODEL_TYPE_TO_PEFT_MODEL_MAPPING
  File "/usr/local/lib/python3.11/dist-packages/peft/mapping.py", line 25, in <module>
    from .mixed_model import PeftMixedModel
  File "/usr/local/lib/python3.11/dist-packages/peft/mixed_model.py", line 29, in <module>
    from .peft_model import PeftModel
  File "/usr/local/lib/python3.11/dist-packages/peft/peft_model.py", line 37, in <module>
    from transformers import Cache, DynamicCache, EncoderDecoderCache, PreTrainedModel
ImportError: cannot import name 'Cache' from 'transformers' (/usr/local/lib/python3.11/dist-packages/transformers/__init__.py)

These are the libraries i installed, i tinkered with by trial and error to get them all installed. I faced alot of issues directly installing versions as mentioned in requirements.txt

absl-py==1.4.0
accelerate==0.22.0
addict==2.4.0
aiohappyeyeballs==2.4.4
aiohttp==3.11.11
aiosignal==1.3.2
alabaster==1.0.0
albucore==0.0.19
albumentations==1.3.1
ale-py==0.10.1
aliyun-python-sdk-core==2.16.0
aliyun-python-sdk-kms==2.16.5
altair==5.5.0
annotated-types==0.7.0
antlr4-python3-runtime==4.9.3
anyio==3.7.1
appdirs==1.4.4
argon2-cffi==23.1.0
argon2-cffi-bindings==21.2.0
array_record==0.6.0
arviz==0.20.0
astropy==6.1.7
astropy-iers-data==0.2025.1.27.0.32.44
astunparse==1.6.3
async-timeout==5.0.1
atpublic==4.1.0
attrs==25.1.0
audioread==3.0.1
autograd==1.7.0
babel==2.16.0
backcall==0.2.0
basicsr==1.4.2
beautifulsoup4==4.12.3
bigframes==1.34.0
bigquery-magics==0.5.0
bitsandbytes==0.41.1
black==25.1.0
bleach==6.2.0
blinker==1.9.0
blis==0.7.11
blosc2==3.0.0
bokeh==3.6.2
Bottleneck==1.4.2
bqplot==0.12.44
braceexpand==0.1.7
branca==0.8.1
CacheControl==0.14.2
cachetools==5.5.1
catalogue==2.0.10
certifi==2024.12.14
cffi==1.17.1
chardet==5.2.0
charset-normalizer==3.4.1
chex==0.1.88
chumpy==0.70
clarabel==0.9.0
click==8.1.8
clip @ git+https://github.com/openai/CLIP.git@dcba3cb2e2827b402d2701e7e1c7d9fed8a20ef1
cloudpathlib==0.20.0
cloudpickle==3.1.1
cmake==3.31.4
cmdstanpy==1.2.5
colorama==0.4.6
colorcet==3.1.0
coloredlogs==15.0.1
colorlover==0.3.0
colour==0.1.5
community==1.0.0b1
confection==0.1.5
cons==0.4.6
contourpy==1.3.1
controlnet_aux @ git+https://github.com/TMElyralab/controlnet_aux.git@be9bbad070e30f412158ec2f2cec28212324ec0e
cramjam==2.9.1
crcmod==1.7
cryptography==43.0.3
cuda-python==12.6.0
cudf-cu12 @ https://pypi.nvidia.com/cudf-cu12/cudf_cu12-24.12.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
cufflinks==0.17.3
cuid==0.4
cupy-cuda12x==13.3.0
cvxopt==1.3.2
cvxpy==1.6.0
cycler==0.12.1
cyipopt==1.5.0
cymem==2.0.11
Cython==3.0.2
dask==2024.10.0
datascience==0.17.6
db-dtypes==1.4.0
dbus-python==1.2.18
debugpy==1.8.0
decorator==4.4.2
decord==0.6.0
defusedxml==0.7.1
Deprecated==1.2.18
diffusers @ git+https://github.com/TMElyralab/diffusers.git@abf2f8bf698a895cecc30a73c6ff4abb92fdce1c
distro==1.9.0
dlib==19.24.2
dm-tree==0.1.8
docker-pycreds==0.4.0
docstring_parser==0.16
docutils==0.21.2
dopamine_rl==4.1.2
duckdb==1.1.3
earthengine-api==1.4.6
easydict==1.13
editdistance==0.8.1
eerepr==0.1.0
einops==0.8.0
en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.7.1/en_core_web_sm-3.7.1-py3-none-any.whl#sha256=86cc141f63942d4b2c5fcee06630fd6f904788d2f0ab005cce45aadb8fb73889
entrypoints==0.4
et_xmlfile==2.0.0
etils==1.11.0
etuples==0.3.9
eval_type_backport==0.2.2
Farama-Notifications==0.0.4
fastai==2.7.18
fastcore==1.7.28
fastdownload==0.0.7
fastjsonschema==2.21.1
fastprogress==1.0.3
fastrlock==0.8.3
ffmpeg==1.4
ffmpeg-python==0.2.0
filelock==3.14.0
firebase-admin==6.6.0
Flask==3.1.0
flatbuffers==25.1.24
flax==0.10.2
folium==0.19.4
fonttools==4.55.7
frozendict==2.4.6
frozenlist==1.5.0
fsspec==2024.10.0
ftfy==6.1.1
future==1.0.0
fvcore==0.1.5.post20221221
gast==0.6.0
gcsfs==2024.10.0
GDAL==3.6.4
gdown==5.2.0
geemap==0.35.1
gensim==4.3.3
geocoder==1.38.1
geographiclib==2.0
geopandas==1.0.1
geopy==2.4.1
gin-config==0.5.0
gitdb==4.0.12
GitPython==3.1.44
glob2==0.7
google==2.0.3
google-ai-generativelanguage==0.6.15
google-api-core==2.19.2
google-api-python-client==2.155.0
google-auth==2.27.0
google-auth-httplib2==0.2.0
google-auth-oauthlib==1.2.1
google-cloud-aiplatform==1.74.0
google-cloud-bigquery==3.25.0
google-cloud-bigquery-connection==1.17.0
google-cloud-bigquery-storage==2.27.0
google-cloud-bigtable==2.28.1
google-cloud-core==2.4.1
google-cloud-datastore==2.20.2
google-cloud-firestore==2.19.0
google-cloud-functions==1.19.0
google-cloud-iam==2.17.0
google-cloud-language==2.16.0
google-cloud-pubsub==2.25.0
google-cloud-resource-manager==1.14.0
google-cloud-spanner==3.51.0
google-cloud-storage==2.19.0
google-cloud-translate==3.19.0
google-colab @ file:///colabtools/dist/google_colab-1.0.0.tar.gz
google-crc32c==1.6.0
google-genai==0.3.0
google-generativeai==0.8.4
google-pasta==0.2.0
google-resumable-media==2.7.2
googleapis-common-protos==1.66.0
googledrivedownloader==0.4
graphviz==0.20.3
greenlet==3.1.1
grpc-google-iam-v1==0.14.0
grpc-interceptor==0.15.4
grpcio==1.70.0
grpcio-status==1.62.3
gspread==6.1.4
gspread-dataframe==4.0.0
gym==0.25.2
gym-notices==0.0.8
gymnasium==1.0.0
h11==0.14.0
h5netcdf==1.5.0
h5py==3.12.1
highspy==1.9.0
holidays==0.65
holoviews==1.20.0
html5lib==1.1
httpcore==1.0.7
httpimport==1.4.0
httplib2==0.22.0
httpx==0.28.1
huggingface-hub==0.25.0
humanfriendly==10.0
humanize==4.11.0
hyperopt==0.2.7
ibis-framework==9.2.0
idna==3.10
imageio==2.37.0
imageio-ffmpeg==0.4.8
imagesize==1.4.1
imbalanced-learn==0.13.0
imgaug==0.4.0
immutabledict==4.2.1
importlib_metadata==8.6.1
importlib_resources==6.5.2
imutils==0.5.4
inflect==7.5.0
iniconfig==2.0.0
insightface==0.7.3
intel-cmplr-lib-ur==2025.0.4
intel-openmp==2025.0.4
invisible-watermark==0.1.5
iopath==0.1.10
ip-adapter @ git+https://github.com/tencent-ailab/IP-Adapter.git@62e4af9d0c1ac7d5f8dd386a0ccf2211346af1a2
IProgress==0.4
ipyevents==2.0.2
ipyfilechooser==0.6.0
ipykernel==5.5.6
ipyleaflet==0.19.2
ipyparallel==8.8.0
ipython==7.34.0
ipython-genutils==0.2.0
ipython-sql==0.5.0
ipytree==0.2.2
ipywidgets==8.0.3
itsdangerous==2.2.0
jax==0.4.33
jax-cuda12-pjrt==0.4.33
jax-cuda12-plugin==0.4.33
jaxlib==0.4.33
jedi==0.19.2
jeepney==0.7.1
jellyfish==1.1.0
jieba==0.42.1
Jinja2==3.1.5
jiter==0.8.2
jmespath==0.10.0
joblib==1.4.2
json-tricks==3.17.3
jsonpatch==1.33
jsonpickle==4.0.1
jsonpointer==3.0.0
jsonschema==4.23.0
jsonschema-specifications==2024.10.1
jupyter-client==6.1.12
jupyter-console==6.1.0
jupyter-leaflet==0.19.2
jupyter-server==1.24.0
jupyter_core==5.7.2
jupyterlab_pygments==0.3.0
jupyterlab_widgets==3.0.13
kaggle==1.6.17
kagglehub==0.3.6
keras==3.8.0
keras-hub==0.18.1
keras-nlp==0.18.1
keyring==23.5.0
kiwisolver==1.4.8
kornia==0.7.0
langchain==0.3.16
langchain-core==0.3.32
langchain-text-splitters==0.3.5
langcodes==3.5.0
langsmith==0.3.2
language_data==1.3.0
launchpadlib==1.10.16
lazr.restfulclient==0.14.4
lazr.uri==1.0.6
lazy_loader==0.4
libclang==18.1.1
libcudf-cu12 @ https://pypi.nvidia.com/libcudf-cu12/libcudf_cu12-24.12.0-py3-none-manylinux_2_28_x86_64.whl
libkvikio-cu12==24.12.1
librosa==0.10.1
lightgbm==4.5.0
lightning-utilities==0.12.0
linkify-it-py==2.0.3
lit==18.1.8
llvmlite==0.43.0
lmdb==1.6.2
locket==1.0.0
logical-unification==0.4.6
loguru==0.6.0
lxml==5.3.0
marisa-trie==1.2.1
Markdown==3.7
markdown-it-py==3.0.0
MarkupSafe==3.0.2
matplotlib==3.10.0
matplotlib-inline==0.1.7
matplotlib-venn==1.1.1
mdit-py-plugins==0.4.2
mdurl==0.1.2
miniKanren==1.0.3
missingno==0.5.2
mistune==3.1.1
mizani==0.13.1
mkl==2025.0.1
ml-dtypes==0.4.1
mlxtend==0.23.4
mmcm==1.0.0
mmcv==2.1.0
mmdet==3.3.0
mmengine==0.10.6
mmpose==1.3.2
model-index==0.1.11
modelcards==0.1.6
more-itertools==10.5.0
moviepy==1.0.3
mpmath==1.3.0
msgpack==1.1.0
multidict==6.1.0
multipledispatch==1.0.0
multitasking==0.0.11
munkres==1.1.4
murmurhash==1.0.12
music21==9.3.0
mypy-extensions==1.0.0
namex==0.0.8
narwhals==1.24.1
natsort==8.4.0
nbclassic==1.2.0
nbclient==0.10.2
nbconvert==7.16.6
nbformat==5.10.4
ndindex==1.9.2
nest-asyncio==1.6.0
networkx==3.4.2
nibabel==5.3.2
ninja==1.11.1
nltk==3.9.1
notebook==6.5.5
notebook_shim==0.2.4
numba==0.60.0
numba-cuda==0.0.17.1
numexpr==2.10.2
numpy==1.26.4
nvidia-cublas-cu11==11.10.3.66
nvidia-cublas-cu12==12.1.3.1
nvidia-cuda-cupti-cu11==11.7.101
nvidia-cuda-cupti-cu12==12.1.105
nvidia-cuda-nvcc-cu12==12.5.82
nvidia-cuda-nvrtc-cu11==11.7.99
nvidia-cuda-nvrtc-cu12==12.1.105
nvidia-cuda-runtime-cu11==11.7.99
nvidia-cuda-runtime-cu12==12.1.105
nvidia-cudnn-cu11==8.5.0.96
nvidia-cudnn-cu12==8.9.2.26
nvidia-cufft-cu11==10.9.0.58
nvidia-cufft-cu12==11.0.2.54
nvidia-curand-cu11==10.2.10.91
nvidia-curand-cu12==10.3.2.106
nvidia-cusolver-cu11==11.4.0.1
nvidia-cusolver-cu12==11.4.5.107
nvidia-cusparse-cu11==11.7.4.91
nvidia-cusparse-cu12==12.1.0.106
nvidia-nccl-cu11==2.14.3
nvidia-nccl-cu12==2.18.1
nvidia-nvcomp-cu12==4.1.0.6
nvidia-nvjitlink-cu12==12.4.127
nvidia-nvtx-cu11==11.7.91
nvidia-nvtx-cu12==12.1.105
nvtx==0.2.10
nx-cugraph-cu12 @ https://pypi.nvidia.com/nx-cugraph-cu12/nx_cugraph_cu12-24.12.0-py3-none-any.whl
oauth2client==4.1.3
oauthlib==3.2.2
omegaconf==2.3.0
onnx==1.14.1
onnxruntime==1.15.1
onnxsim==0.4.33
open-clip-torch==2.20.0
openai==1.59.9
opencv-contrib-python==4.8.0.76
opencv-python==4.10.0.84
opencv-python-headless==4.11.0.86
opendatalab==0.0.10
openmim==0.3.9
openpyxl==3.1.5
opentelemetry-api==1.16.0
opentelemetry-sdk==1.16.0
opentelemetry-semantic-conventions==0.37b0
openxlab==0.1.2
opt_einsum==3.4.0
optax==0.2.4
optree==0.14.0
orbax-checkpoint==0.6.4
ordered-set==4.1.0
orjson==3.10.15
osqp==0.6.7.post3
oss2==2.17.0
packaging==24.2
pandas==2.2.2
pandas-datareader==0.10.0
pandas-gbq==0.26.1
pandas-stubs==2.2.2.240909
pandocfilters==1.5.1
panel==1.6.0
param==2.2.0
parso==0.8.4
parsy==2.1
partd==1.4.2
pathlib==1.0.1
pathspec==0.12.1
pathtools==0.1.2
patsy==1.0.1
peewee==3.17.8
peft==0.14.0
pexpect==4.9.0
pickleshare==0.7.5
pillow==11.1.0
platformdirs==4.3.6
plotly==5.24.1
plotnine==0.14.5
pluggy==1.5.0
ply==3.11
polars==1.9.0
pooch==1.8.2
portalocker==3.1.1
portpicker==1.5.2
preshed==3.0.9
prettytable==3.13.0
proglog==0.1.10
progressbar2==4.5.0
prometheus_client==0.21.1
promise==2.3
prompt_toolkit==3.0.50
propcache==0.2.1
prophet==1.1.6
proto-plus==1.26.0
protobuf==3.20.3
psutil==5.9.5
psycopg2==2.9.10
ptyprocess==0.7.0
py-cpuinfo==9.0.0
py4j==0.10.9.7
pyarrow==17.0.0
pyasn1==0.6.1
pyasn1_modules==0.4.1
pycocotools==2.0.8
pycparser==2.22
pycryptodome==3.21.0
pydantic==2.10.6
pydantic_core==2.27.2
pydata-google-auth==1.9.1
pydot==3.0.4
pydotplus==2.0.2
PyDrive==1.3.1
PyDrive2==1.21.3
pyerfa==2.0.1.5
pygame==2.6.1
pygit2==1.16.0
Pygments==2.18.0
PyGObject==3.42.1
PyJWT==2.10.1
pylibcudf-cu12 @ https://pypi.nvidia.com/pylibcudf-cu12/pylibcudf_cu12-24.12.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
pylibcugraph-cu12==24.12.0
pylibraft-cu12==24.12.0
pymc==5.19.1
pymystem3==0.2.0
pynvjitlink-cu12==0.5.0
pynvml==11.5.0
pyogrio==0.10.0
Pyomo==6.8.2
PyOpenGL==3.1.9
pyOpenSSL==24.2.1
pyparsing==3.2.1
pyperclip==1.9.0
pyproj==3.7.0
pyshp==2.3.1
PySocks==1.7.1
pyspark==3.5.4
pytensor==2.26.4
pytest==8.3.4
python-apt==0.0.0
python-box==7.3.2
python-dateutil==2.8.2
python-louvain==0.16
python-slugify==8.0.4
python-snappy==0.7.3
python-utils==3.9.1
pytorch-lightning==2.0.8
pytube==15.0.0
pytz==2023.4
pyviz_comms==3.0.4
PyWavelets==1.8.0
PyYAML==6.0.2
pyzmq==24.0.1
qdldl==0.1.7.post5
qudida==0.0.4
ratelim==0.1.6
redis==4.5.1
referencing==0.36.2
regex==2024.11.6
requests==2.28.2
requests-oauthlib==1.3.1
requests-toolbelt==1.0.0
requirements-parser==0.9.0
rich==13.4.2
rmm-cu12==24.12.1
rpds-py==0.22.3
rpy2==3.4.2
rsa==4.9
safetensors==0.3.3
scikit-image==0.25.1
scikit-learn==1.6.1
scipy==1.13.1
scooby==0.10.0
scs==3.2.7.post2
seaborn==0.13.2
SecretStorage==3.3.1
Send2Trash==1.8.3
sentence-transformers==3.3.1
sentencepiece==0.2.0
sentry-sdk==2.20.0
setproctitle==1.3.4
shap==0.46.0
shapely==2.0.6
shellingham==1.5.4
simple-parsing==0.1.7
six==1.17.0
sklearn-compat==0.1.3
sklearn-pandas==2.2.0
slicer==0.0.8
smart-open==7.1.0
smmap==5.0.2
sniffio==1.3.1
snowballstemmer==2.2.0
soundfile==0.13.1
soupsieve==2.6
soxr==0.5.0.post1
spacy==3.7.5
spacy-legacy==3.0.12
spacy-loggers==1.0.5
spanner-graph-notebook==1.0.9
Sphinx==8.1.3
sphinxcontrib-applehelp==2.0.0
sphinxcontrib-devhelp==2.0.0
sphinxcontrib-htmlhelp==2.1.0
sphinxcontrib-jsmath==1.0.1
sphinxcontrib-qthelp==2.0.0
sphinxcontrib-serializinghtml==2.0.0
SQLAlchemy==2.0.37
sqlglot==25.6.1
sqlparse==0.5.3
srsly==2.5.1
stanio==0.5.1
statsmodels==0.14.4
stringzilla==3.11.3
sympy==1.13.1
tables==3.10.2
tabulate==0.9.0
tb-nightly==2.19.0a20250204
tbb==2022.0.0
tcmlib==1.2.0
tenacity==9.0.0
tensorboard==2.18.0
tensorboard-data-server==0.7.2
tensorflow==2.18.0
tensorflow-datasets==4.9.7
tensorflow-hub==0.16.1
tensorflow-io-gcs-filesystem==0.37.1
tensorflow-metadata==1.16.1
tensorflow-probability==0.24.0
tensorflow-text==2.18.1
tensorstore==0.1.71
termcolor==2.5.0
terminado==0.18.1
terminaltables==3.1.10
test_tube==0.7.5
text-unidecode==1.3
textblob==0.17.1
tf-slim==1.1.0
tf_keras==2.18.0
thinc==8.2.5
threadpoolctl==3.5.0
tifffile==2025.1.10
timm==0.9.12
tinycss2==1.4.0
tokenizers==0.13.3
toml==0.10.2
toolz==0.12.1
torch==2.1.0
torch-tb-profiler==0.4.1
torchaudio==2.1.0+cu121
torchmetrics==1.1.1
torchsummary==1.5.1
torchvision==0.16.0+cu121
tornado==6.4.2
tqdm==4.65.2
traitlets==5.7.1
traittypes==0.2.1
transformers==4.31.0
triton==2.1.0
tweepy==4.14.0
typeguard==4.4.1
typer==0.15.1
types-pytz==2024.2.0.20241221
types-setuptools==75.8.0.20250110
typing_extensions==4.12.2
tzdata==2025.1
tzlocal==5.2
uc-micro-py==1.0.3
umf==0.9.1
uritemplate==4.1.1
urllib3==1.26.20
vega-datasets==0.9.0
wadllib==1.3.6
wandb==0.15.10
wasabi==1.1.3
wcwidth==0.2.13
weasel==0.4.1
webcolors==24.11.1
webdataset==0.2.100
webencodings==0.5.1
webp==0.4.0
websocket-client==1.8.0
websockets==14.2
Werkzeug==3.1.3
wget==3.2
widgetsnbextension==4.0.13
wordcloud==1.9.4
wrapt==1.17.2
xarray==2025.1.1
xarray-einstats==0.8.0
xformers==0.0.21
xgboost==2.1.3
xlrd==2.0.1
XlsxWriter==3.2.2
xtcocotools==1.14.3
xyzservices==2025.1.0
yacs==0.1.8
yapf==0.43.0
yarl==1.18.3
yellowbrick==1.5
yfinance==0.2.52
zipp==3.21.0
zstandard==0.23.0

Please let me know if anyone's found a way to set it up on colab, or got to install Musev without docker.

Feb 04 '25 16:02 santosh-r24