Instructions to use vera-pro/bert-mention-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vera-pro/bert-mention-fr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vera-pro/bert-mention-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vera-pro/bert-mention-fr") model = AutoModelForTokenClassification.from_pretrained("vera-pro/bert-mention-fr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5335fef8d2cedffa56b74e0c002136f149b9a0625616d374fe87616ab317e790
- Size of remote file:
- 709 MB
- SHA256:
- 402164e8d426981ed1af347deb63084b781ab8213a1c86ab5ab1bee23a2e9c82
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