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:
- 8b73700c08c9e3b4bdb9644ffbff5fba8468e8904b989a88896ba31000035b18
- Size of remote file:
- 3.44 kB
- SHA256:
- 39edd379b9de7427400ab40fa2f1773ceaf3b66132c85a49cf65d66083be3d55
路
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