Instructions to use BioMedTok/SentencePieceCharacters-NACHOS-FR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BioMedTok/SentencePieceCharacters-NACHOS-FR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BioMedTok/SentencePieceCharacters-NACHOS-FR")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BioMedTok/SentencePieceCharacters-NACHOS-FR") model = AutoModelForMaskedLM.from_pretrained("BioMedTok/SentencePieceCharacters-NACHOS-FR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da723be7b2278a6ef9332a9f039ce03f00a69c7545c3230d4791725125a4aed4
- Size of remote file:
- 689 MB
- SHA256:
- c1bc46352db917fa45ec8b78e2d63132a41b5fb49651e50fe39741f835c89b41
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