Instructions to use BioMedTok/BPE-HF-Wikipedia-FR-Morphemes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BioMedTok/BPE-HF-Wikipedia-FR-Morphemes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BioMedTok/BPE-HF-Wikipedia-FR-Morphemes")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BioMedTok/BPE-HF-Wikipedia-FR-Morphemes") model = AutoModelForMaskedLM.from_pretrained("BioMedTok/BPE-HF-Wikipedia-FR-Morphemes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from BioMedTok/BPE-HF-Wikipedia-FR-Morphemes: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/BioMedTok/BPE-HF-Wikipedia-FR-Morphemes/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://BioMedTok/BPE-HF-Wikipedia-FR-Morphemes/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/BioMedTok/BPE-HF-Wikipedia-FR-Morphemes/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- 5d8ddc5cb63d20a1d8bf7ae4d74cd6de50707ba815ca1eb4892f1bbb2d353dbf
- Size of remote file:
- 443 MB
- SHA256:
- e039b08370bff846ee952596e894dfc01e0704fce50f4300f36ac69d4ea7ed67
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