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:
- f4a9f2c160b81329d203919e176f723cf2cad6ce34cf0a54111fdadfc57565e3
- Size of remote file:
- 3.5 kB
- SHA256:
- 09668e66eaade21e7bac7b0c82995232212655682f316a4d36c00c72bc95fc0e
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