Instructions to use BioMedTok/SentencePieceBPE-Wikipedia-FR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BioMedTok/SentencePieceBPE-Wikipedia-FR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BioMedTok/SentencePieceBPE-Wikipedia-FR")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BioMedTok/SentencePieceBPE-Wikipedia-FR") model = AutoModelForMaskedLM.from_pretrained("BioMedTok/SentencePieceBPE-Wikipedia-FR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from BioMedTok/SentencePieceBPE-Wikipedia-FR: direct link, hf CLI and curl.
- Browser
- Download file 2.52 MB
-
https://huggingface.co/BioMedTok/SentencePieceBPE-Wikipedia-FR/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
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hf download hf://BioMedTok/SentencePieceBPE-Wikipedia-FR@refs/pr/1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/BioMedTok/SentencePieceBPE-Wikipedia-FR/resolve/refs%2Fpr%2F1/tokenizer.json
2.52 MB
File too large to display, you can check the raw version instead.