Instructions to use medkit/CamemBert-Bio-Generalized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use medkit/CamemBert-Bio-Generalized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="medkit/CamemBert-Bio-Generalized")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("medkit/CamemBert-Bio-Generalized") model = AutoModelForTokenClassification.from_pretrained("medkit/CamemBert-Bio-Generalized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 415c543f9995926cb5d4215b32442ea324997ee20f3eb2118fbad07221eed3d6
- Size of remote file:
- 881 MB
- SHA256:
- f1f0701e216e018316020924309f188783c1e2dae9745eec60b541b52ae7e5d1
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