Instructions to use Pclanglais/French-TV-transcript-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pclanglais/French-TV-transcript-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Pclanglais/French-TV-transcript-NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Pclanglais/French-TV-transcript-NER") model = AutoModelForTokenClassification.from_pretrained("Pclanglais/French-TV-transcript-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Pclanglais/French-TV-transcript-NER: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/Pclanglais/French-TV-transcript-NER/resolve/main/tokenizer.json
- Command line
-
hf download hf://Pclanglais/French-TV-transcript-NER/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Pclanglais/French-TV-transcript-NER/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- dc9091a88c97c25762f4b39ee58d82f0b4aa46a313886494ed392411fa3c467d
- Size of remote file:
- 16.3 MB
- SHA256:
- 5e26ec8cd2234df8edcc6e8c207b66b3162360f9fdc46ee4526a440d0d9d0bb9
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