Instructions to use aaditya/Bio_ClinicalBERT_emrqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aaditya/Bio_ClinicalBERT_emrqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="aaditya/Bio_ClinicalBERT_emrqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("aaditya/Bio_ClinicalBERT_emrqa") model = AutoModelForQuestionAnswering.from_pretrained("aaditya/Bio_ClinicalBERT_emrqa") - 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:eb931ddf863a409a4ce5627462889ac3a2c4d6613be800c176a28509f00f68fa
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size 430912392
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