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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## Model Details
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### Description
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- **Developed by:** DHLAB, EPFL and the [Impresso team](https://impresso-project.ch)
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- **Model type:** BERT-based token classification model for named entity recognition
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- **Languages:** French
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- **License:** [AGPL v3+](https://github.com/impresso/impresso-pyindexation/blob/master/LICENSE)
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## Model Details
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### Description
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- **Developed by:** DHLAB, EPFL and the [Impresso team](https://impresso-project.ch). The project is an interdisciplinary project focused on historical media analysis across languages, time, and modalities. Funded by the Swiss National Science Foundation ([CRSII5_173719](http://p3.snf.ch/project-173719), [CRSII5_213585](https://data.snf.ch/grants/grant/213585)) and the Luxembourg National Research Fund (grant No. 17498891).
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- **Model type:** BERT-based token classification model for named entity recognition
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- **Languages:** French
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- **License:** [AGPL v3+](https://github.com/impresso/impresso-pyindexation/blob/master/LICENSE)
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