Instructions to use saiful9379/Bangla_Roberta_Question_and_Answer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saiful9379/Bangla_Roberta_Question_and_Answer with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="saiful9379/Bangla_Roberta_Question_and_Answer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("saiful9379/Bangla_Roberta_Question_and_Answer") model = AutoModelForQuestionAnswering.from_pretrained("saiful9379/Bangla_Roberta_Question_and_Answer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from saiful9379/Bangla_Roberta_Question_and_Answer: direct link, hf CLI and curl.
- Browser
- Download file 528 MB
-
https://huggingface.co/saiful9379/Bangla_Roberta_Question_and_Answer/resolve/refs%2Fpr%2F2/optimizer.pt
- Command line
-
hf download hf://saiful9379/Bangla_Roberta_Question_and_Answer@refs/pr/2/optimizer.pt
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curl -L -o optimizer.pt https://huggingface.co/saiful9379/Bangla_Roberta_Question_and_Answer/resolve/refs%2Fpr%2F2/optimizer.pt
528 MB
- Xet hash:
- 8398f50415cdaa61626c77bae8f899a5192854b2e54e0cdeeb44e30ce43e3afd
- Size of remote file:
- 528 MB
- SHA256:
- 48779fea1a1c9702f2c691a8280703014be3f0827b11b4127a26ff65866d1563
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