Token Classification
Transformers
Safetensors
French
bert
newsagency
ner
historical
impresso
multilingual
Instructions to use impresso-project/ner-newsagency-bert-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use impresso-project/ner-newsagency-bert-fr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="impresso-project/ner-newsagency-bert-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("impresso-project/ner-newsagency-bert-fr") model = AutoModelForTokenClassification.from_pretrained("impresso-project/ner-newsagency-bert-fr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a616001eab329c42eec5201dac2daaeffb6b3ada4c03933af9d0585a5f7633d2
- Size of remote file:
- 440 MB
- SHA256:
- d1073de6c3eda6b1aad74979fca329d87a5259425322331e0faf81e18a48ceea
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