Instructions to use alexia-allal/ner-model-camembert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexia-allal/ner-model-camembert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="alexia-allal/ner-model-camembert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("alexia-allal/ner-model-camembert") model = AutoModelForTokenClassification.from_pretrained("alexia-allal/ner-model-camembert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from alexia-allal/ner-model-camembert: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/alexia-allal/ner-model-camembert/resolve/06533a0a631a4128fbd5e675edbb203729ee19a9/tokenizer.json
- Command line
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hf download hf://alexia-allal/ner-model-camembert@06533a0a631a4128fbd5e675edbb203729ee19a9/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/alexia-allal/ner-model-camembert/resolve/06533a0a631a4128fbd5e675edbb203729ee19a9/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.