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
File size: 134 Bytes
f610ad3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0188e372c7e8156c86abed84719ad8e60a69e7c833786df0d5e96a4a65d9cfc4
size 430955313
|