Instructions to use Jean-Baptiste/camembert-ner-with-dates with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jean-Baptiste/camembert-ner-with-dates with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Jean-Baptiste/camembert-ner-with-dates")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Jean-Baptiste/camembert-ner-with-dates") model = AutoModelForTokenClassification.from_pretrained("Jean-Baptiste/camembert-ner-with-dates", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Jean-Baptiste/camembert-ner-with-dates: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/Jean-Baptiste/camembert-ner-with-dates/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Jean-Baptiste/camembert-ner-with-dates/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Jean-Baptiste/camembert-ner-with-dates/resolve/main/pytorch_model.bin
440 MB
- Xet hash:
- 4eb0a9b2c398454a37e3b4570de55e41affc50ea631bc631045babef6a556f56
- Size of remote file:
- 440 MB
- SHA256:
- 82f02fbb095b057e0f13a782b612d2bdfaf6edd31d193b49af1dc1fc9f94c761
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