Instructions to use BioMedTok/SentencePieceBPE-Wikipedia-FR-Morphemes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BioMedTok/SentencePieceBPE-Wikipedia-FR-Morphemes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BioMedTok/SentencePieceBPE-Wikipedia-FR-Morphemes")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BioMedTok/SentencePieceBPE-Wikipedia-FR-Morphemes") model = AutoModelForMaskedLM.from_pretrained("BioMedTok/SentencePieceBPE-Wikipedia-FR-Morphemes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5fe4f7cdb3637cf5d4c25c21ae9158ac2a374e36057e2a07c8623a5da68b91bf
- Size of remote file:
- 14.5 kB
- SHA256:
- 47cc786f8ac6a6a33451664b6ab99e34fca764667acda64fdc68ac144ab42ccd
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