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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ca5765cb059d1f7327a4d91fcbd1c9288e5b8a24cfbc3138fc318e413ee33aa
- Size of remote file:
- 344 MB
- SHA256:
- a9ffc8b80a6599fa8e5f8f6102ed8e792d8ae691d0d8c8d693aafb0b2d7089ce
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