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
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README.md
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@@ -69,7 +69,7 @@ The code is available [here](https://github.com/impresso/newsagency-classificati
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title = "Where Did the News come from? Detection of News Agency Releases in Historical Newspapers",
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author = "Marxen, Lea and Ehrmann, Maud and Boros, Emanuela",
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year = "2023",
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url = "
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note = "Master Thesis"
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}
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```
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title = "Where Did the News come from? Detection of News Agency Releases in Historical Newspapers",
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author = "Marxen, Lea and Ehrmann, Maud and Boros, Emanuela",
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year = "2023",
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url = "https://github.com/impresso/newsagency-classification/",
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note = "Master Thesis"
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}
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```
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