Instructions to use har1/HealthScribe-Clinical_Note_Generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use har1/HealthScribe-Clinical_Note_Generator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("har1/HealthScribe-Clinical_Note_Generator") model = AutoModelForSeq2SeqLM.from_pretrained("har1/HealthScribe-Clinical_Note_Generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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pipeline_tag: summarization
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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language:
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- en
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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