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 from transformers import pipeline pipe = pipeline("question-answering", model="Shushant/biomedical_question_answering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Shushant/biomedical_question_answering") model = AutoModelForQuestionAnswering.from_pretrained("Shushant/biomedical_question_answering") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2271f599b36129eca67e11bc05920b11b7a7855082a3082d6d45138b4e7e2009
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size 435600272
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