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 model.safetensors from alexia-allal/ner-model-camembert: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/alexia-allal/ner-model-camembert/resolve/main/model.safetensors
- Command line
-
hf download hf://alexia-allal/ner-model-camembert/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/alexia-allal/ner-model-camembert/resolve/main/model.safetensors
440 MB
- Xet hash:
- b2798c10ca812dfc6de30c9416b2196afe5d01845fea6bcc40d7d66066a06645
- Size of remote file:
- 440 MB
- SHA256:
- 1d0accb344f1a35da7592b3c3f3172ce27b051c4478eb726330306f362bc5a1b
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