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:
- a29673ec2e96111b361e80f2dade5cd45f18e0da8efb02ced15188612e40bbcd
- Size of remote file:
- 3.5 kB
- SHA256:
- eb483c3eb4dca55e28695598a88d4e2b55355f2e755ba03a93e2e23bdc5313a8
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