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:
- 57ac0ac1d01b855fb62f61cdf7a4189056bd9073228d827afb36c3e43a2237e4
- Size of remote file:
- 443 MB
- SHA256:
- ca0e1b2e353e7cfc346c30405619fe1dce3e9e24f0efd3f80a8f1e0909ee5905
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