Instructions to use BioMedTok/SentencePieceBPE-PubMed-FR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BioMedTok/SentencePieceBPE-PubMed-FR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BioMedTok/SentencePieceBPE-PubMed-FR")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BioMedTok/SentencePieceBPE-PubMed-FR") model = AutoModelForMaskedLM.from_pretrained("BioMedTok/SentencePieceBPE-PubMed-FR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a56eae01dbd5c1b71357d771b6e6641a6c5d70ef08a9dfce68d00ee41671e53d
- Size of remote file:
- 3.5 kB
- SHA256:
- c2daa03d297deabbf468fdbef703485ed68b7511448cb8708ba65dee8b991c7a
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