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
- Xet hash:
- f26d595eb1c09c563a2ef18c2fb7525ff1a3f3c5fb495b6eb18106e49a5fea3d
- Size of remote file:
- 5.05 kB
- SHA256:
- de93dc9a47d0e590a9cec40dfa84aeed8ebfb26e23a89a9d7a4c4be849fc5c46
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