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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 245792eaba75dbb94536cebbca29d7b042548b05aa8b8f27a27920f747daac18
- Size of remote file:
- 431 MB
- SHA256:
- 0188e372c7e8156c86abed84719ad8e60a69e7c833786df0d5e96a4a65d9cfc4
路
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