Instructions to use BioMedTok/SentencePieceBPE-CC100-FR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BioMedTok/SentencePieceBPE-CC100-FR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BioMedTok/SentencePieceBPE-CC100-FR")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BioMedTok/SentencePieceBPE-CC100-FR") model = AutoModelForMaskedLM.from_pretrained("BioMedTok/SentencePieceBPE-CC100-FR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
95cd968 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:80727d8c7373194404f35e28265cd96a42fcd8af5d4e1615c221a35a968389b2
size 3503
|