Instructions to use almanach/camembertav2-base-ftb-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use almanach/camembertav2-base-ftb-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="almanach/camembertav2-base-ftb-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("almanach/camembertav2-base-ftb-ner") model = AutoModelForTokenClassification.from_pretrained("almanach/camembertav2-base-ftb-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from almanach/camembertav2-base-ftb-ner: direct link, hf CLI and curl.
- Browser
- Download file 756 kB
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https://huggingface.co/almanach/camembertav2-base-ftb-ner/resolve/main/tokenizer.json
- Command line
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hf download hf://almanach/camembertav2-base-ftb-ner/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/almanach/camembertav2-base-ftb-ner/resolve/main/tokenizer.json
756 kB
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