Instructions to use Emran/ClinicalBERT_description_full_ICD10_Code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Emran/ClinicalBERT_description_full_ICD10_Code with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Emran/ClinicalBERT_description_full_ICD10_Code", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 696eb4ef26b5285d494d9924928a4bc24ba590acd9c00d09332f662ec7ceb4c3
- Size of remote file:
- 480 MB
- SHA256:
- b04624e311a676a027102932e55e5e0fdd18e0abe96ae63f3176d6fa42c9e630
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