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
Upload 2 files
Browse files- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
optimizer.pt
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