text-generation-inference
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PaliGemma detection task is failing
System Info
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.183.01 Driver Version: 535.183.01 CUDA Version: 12.2 |
|-----------------------------------------+----------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 NVIDIA A100-SXM4-40GB Off | 00000000:00:04.0 Off | 0 |
| N/A 33C P0 49W / 400W | 34683MiB / 40960MiB | 0% Default |
| | | Disabled |
+-----------------------------------------+----------------------+----------------------+
+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
| 0 N/A N/A 7589 G /usr/lib/xorg/Xorg 95MiB |
| 0 N/A N/A 7836 G /usr/bin/gnome-shell 12MiB |
| 0 N/A N/A 43844 C /opt/conda/bin/python3.10 34552MiB |
+---------------------------------------------------------------------------------------+
Information
- [X] Docker
- [ ] The CLI directly
Tasks
- [X] An officially supported command
- [ ] My own modifications
Reproduction
I'm running Google's PaliGemma 448-res model with Docker:
model=google/paligemma-3b-pt-448
volume=$PWD/data
docker run --gpus all --shm-size 1g -e HF_TOKEN=$token -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:2.2.0 --model-id $model
I'm trying to run the detection task using the example code here:
from huggingface_hub import InferenceClient
client = InferenceClient("http://127.0.0.1:8080")
image = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/rabbit.png"
prompt = f"detect rabbit\n\n"
for token in client.text_generation(prompt, max_new_tokens=16, stream=True):
print(token)
# This is a picture of an anthropomorphic rabbit in a space suit.
But I only get <eos>
as an output.
I raised a similar issue in vLLM: https://github.com/vllm-project/vllm/issues/7115
I suspected that it had to do with the special <loc>
tokens. In the HF implementation the extra loc tokens are added to the Gemma processor:
https://github.com/huggingface/transformers/blob/25245ec26dc29bcf6102e1b4ddd0dfd02e720cf5/src/transformers/models/paligemma/processing_paligemma.py#L38
I'm not sure if it could be that, though.
Expected behavior
I tried to run the same example using this HF space and it ran succesfully: