Alvyn Abranches

DQN

1

File "/home/../aichess/main.py", line 13, in agent = Agent( File "/home/../aichess/engines/dqn.py", line 114, in __init__ self.q_eval = DeepQNetwork(self.lr, self.n_actions, TypeError: DeepQNetwork.__init__() got multiple values for argument 'input_dims'

``` kubectl get pods -o wide -n kube-system -l k8s-app=static-egressip-controller ``` ``` NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES static-egressip-controller-rh6hd 0/1 CrashLoopBackOff 2 (20s ago) 38s...

go-api-starter not working

2

```bash go run main.go ``` ```bash ./main.go:25:9: undefined: InitFiberApplication ``` ```bash make build ``` ```bash swag init make: swag: No such file or directory make: *** [Makefile:24: swag] Error 127...

Nothing is working. Just useless project.

5

### Describe your issue It is giving a empty page on localhost:3000 ### How To Reproduce Steps to reproduce the behavior (example): All steps are followed according to https://www.youtube.com/watch?v=eLiMpEIRBzY ###...

It is just giving a blank page.

1

### Describe the bug A clear and concise description of what the bug is. ### How To Reproduce Steps to reproduce the behavior (example): 1. Clone the repo 2. Copy...

AttributeError: module 'tensorflow._api.v2.train' has no attribute 'Optimizer'

1

Command ```bash python IndicBERT/train/run_pretraining.py \ --input_file=/content/drive/MyDrive/6000Sentences/TrainingEnglish/input.txt \ --output_dir=/content/drive/MyDrive/6000Sentences/TrainingEnglish/mlm_data.txt \ --do_train=True \ --bert_config_file=/content/drive/MyDrive/6000Sentences/TrainingEnglish/output_tokenizer/tokenizer_config.json \ --train_batch_size=4096 \ --max_seq_length=5 \ --max_predictions_per_seq=4 \ --num_train_steps=1000000 \ --num_warmup_steps=10000 \ --learning_rate=5e-4 \ --save_checkpoints_steps=100000 ``` Error ```bash Traceback...

Tokenizer class IndicBERTSentencePieceTokenizer does not exist or is not currently imported.

1

Code ```python import torch from transformers import pipeline, AutoModel, AutoTokenizer model_id = "ai4bharat/IndicBERTv2-alpha-SentimentClassification" tokenizer = AutoTokenizer.from_pretrained(model_id, keep_accents=True) model = AutoModel.from_pretrained(model_id).to("cuda") ``` Error ```bash ValueError Traceback (most recent call last) [](https://localhost:8080/#)...

No documentation available.

Code ``` from transformers import pipeline, AutoModel, AutoTokenizer model_id = "ai4bharat/indic-bert" tokenizer = AutoTokenizer.from_pretrained(model_id, keep_accents=True) model = AutoModel.from_pretrained(model_id) pipe = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer) print(pipe("मी कॉलेजमध्ये आहे")) ``` Error ```bash The...

Command ```bash python IndicBERT/train/run_pretraining.py \ --input_file=/content/drive/MyDrive/6000Sentences/TrainingEnglish/input.txt \ --output_dir=/content/drive/MyDrive/6000Sentences/TrainingEnglish/mlm_data.txt \ --do_train=True \ --bert_config_file=/content/drive/MyDrive/6000Sentences/TrainingEnglish/output_tokenizer/tokenizer_config.json \ --train_batch_size=4096 \ --max_seq_length=5 \ --max_predictions_per_seq=4 \ --num_train_steps=1000000 \ --num_warmup_steps=10000 \ --learning_rate=5e-4 \ --save_checkpoints_steps=100000 ``` Error ```bash Traceback...