Instructions to use BioMedTok/BPE-HF-Wikipedia-FR-Morphemes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BioMedTok/BPE-HF-Wikipedia-FR-Morphemes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BioMedTok/BPE-HF-Wikipedia-FR-Morphemes")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BioMedTok/BPE-HF-Wikipedia-FR-Morphemes") model = AutoModelForMaskedLM.from_pretrained("BioMedTok/BPE-HF-Wikipedia-FR-Morphemes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80cbf6f59bac6f657f23379da5e59a3e0a506407e36494cd6ee23158b4025978
- Size of remote file:
- 885 MB
- SHA256:
- 9a884f9babc811a8981e69c4e96a118189d9cf66789577311f9871dfead05461
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