Instructions to use BioMedTok/SentencePieceBPE-Wikipedia-FR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BioMedTok/SentencePieceBPE-Wikipedia-FR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BioMedTok/SentencePieceBPE-Wikipedia-FR")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BioMedTok/SentencePieceBPE-Wikipedia-FR") model = AutoModelForMaskedLM.from_pretrained("BioMedTok/SentencePieceBPE-Wikipedia-FR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0543a2632e237b9d18fb0f43071ba368004440926038d9bf2b0bce684dcbcacb
- Size of remote file:
- 559 Bytes
- SHA256:
- 06bd791a62086cb1e017bfe9d5222646f651e8165d1055ab3ef6d80ecdece72c
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