Instructions to use OnePoint16/distilbert-medical-question_answer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OnePoint16/distilbert-medical-question_answer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="OnePoint16/distilbert-medical-question_answer")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("OnePoint16/distilbert-medical-question_answer") model = AutoModelForQuestionAnswering.from_pretrained("OnePoint16/distilbert-medical-question_answer") - 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 sha256:062eedf6f203786ea3a20cea8e545343aba305c4f4157a1a530acafc0afabd85
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size 265470032
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