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:
- f2a5e3413a67e21facc95596378e10389f5a67b2db7d611d280877231fde2869
- Size of remote file:
- 3.5 kB
- SHA256:
- 6bd1965bd43c23a129e14c29cc491fa9ea519ee5bd59ab7a894ee6b05c9b1d36
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