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 optimizer.pt from BioMedTok/SentencePieceBPE-Wikipedia-FR: direct link, hf CLI and curl.
- Browser
- Download file 885 MB
-
https://huggingface.co/BioMedTok/SentencePieceBPE-Wikipedia-FR/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://BioMedTok/SentencePieceBPE-Wikipedia-FR@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/BioMedTok/SentencePieceBPE-Wikipedia-FR/resolve/refs%2Fpr%2F1/optimizer.pt
885 MB
- Xet hash:
- 1c6289e035a297c3f67ec83ff66cd6387ed7d967ebd7cd51f37fc08092ea6db7
- Size of remote file:
- 885 MB
- SHA256:
- 99d7ac3d28c66723fb97fd0a1c1d7b65e02f4d48e9bb5d23ec5c670d6dd1e451
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