Instructions to use DataScientist1122/BERT_MedQuad_2ND with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DataScientist1122/BERT_MedQuad_2ND with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="DataScientist1122/BERT_MedQuad_2ND")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("DataScientist1122/BERT_MedQuad_2ND") model = AutoModelForQuestionAnswering.from_pretrained("DataScientist1122/BERT_MedQuad_2ND", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8396b0be3c3a7a70079971dcfc88707516bb3c823fec885f87021274f8dbf3ec
- Size of remote file:
- 5.05 kB
- SHA256:
- bd22ad20c7b79e5d0f2ffaa1b1bfed0d6305bfbcb3d83c0066e2b38b2f009bff
路
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