Instructions to use Shushant/biomedical_question_answering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shushant/biomedical_question_answering 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="Shushant/biomedical_question_answering")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Shushant/biomedical_question_answering") model = AutoModelForQuestionAnswering.from_pretrained("Shushant/biomedical_question_answering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update Readme
392e85b
-
Update README.md
6e8763f -
Update README.md
83e33bc
-
update model card README.md
Shushant Pudasainide2f8e0 -
Model save
Shushant Pudasaini9704615 -
Training in progress, step 2000
Shushant Pudasainic51aafa -
Training in progress, step 1500
Shushant Pudasaini1ede444 -
Training in progress, step 1000
Shushant Pudasaini3118124 -
Training in progress, step 500
Shushant Pudasainic663764
-
initial commit
Shushant Pudasainid11b507