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 rng_state_29.pth from BioMedTok/SentencePieceBPE-Wikipedia-FR: direct link, hf CLI and curl.
- Browser
- Download file 14.5 kB
-
https://huggingface.co/BioMedTok/SentencePieceBPE-Wikipedia-FR/resolve/main/rng_state_29.pth
- Command line
-
hf download hf://BioMedTok/SentencePieceBPE-Wikipedia-FR/rng_state_29.pth
-
curl -L -o rng_state_29.pth https://huggingface.co/BioMedTok/SentencePieceBPE-Wikipedia-FR/resolve/main/rng_state_29.pth
14.5 kB
- Xet hash:
- 6cf7d2e3226cf534002410c0c92a3ea31e8fd5a026934c66d566eb61ab2d94d0
- Size of remote file:
- 14.5 kB
- SHA256:
- 39c55aa942d860b9700a214e067e030fc32d96513be8eb598bdac0a9f9117e41
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