Instructions to use joheras/clinico with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joheras/clinico with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="joheras/clinico")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("joheras/clinico") model = AutoModelForTokenClassification.from_pretrained("joheras/clinico") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1410bf7e899761a9295a4cf7d101a9d9baaa6cf09a25841ec9c74c821377db3
- Size of remote file:
- 267 MB
- SHA256:
- 261da908c007356d75f3cba9c13815e019272d15ba13e044af0ed2ae5746d1e6
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