Instructions to use BioMedTok/SentencePieceBPE-CC100-FR-Morphemes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BioMedTok/SentencePieceBPE-CC100-FR-Morphemes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BioMedTok/SentencePieceBPE-CC100-FR-Morphemes")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BioMedTok/SentencePieceBPE-CC100-FR-Morphemes") model = AutoModelForMaskedLM.from_pretrained("BioMedTok/SentencePieceBPE-CC100-FR-Morphemes") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26637669e66f389b828015234ce14d552d44693f8c1860e35566130fa2995e4f
- Size of remote file:
- 443 MB
- SHA256:
- 3fd009a504eda937ae47c81998de6bbb7124f608aec4d825bff1e874f802dfd7
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