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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BioMedTok/SentencePieceBPE-Wikipedia-FR") model = AutoModelForMaskedLM.from_pretrained("BioMedTok/SentencePieceBPE-Wikipedia-FR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from BioMedTok/SentencePieceBPE-Wikipedia-FR: direct link, hf CLI and curl.
- Browser
- Download file 353 Bytes
-
https://huggingface.co/BioMedTok/SentencePieceBPE-Wikipedia-FR/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://BioMedTok/SentencePieceBPE-Wikipedia-FR/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/BioMedTok/SentencePieceBPE-Wikipedia-FR/resolve/main/special_tokens_map.json
353 Bytes
| { | |
| "additional_special_tokens": [ | |
| "<s>NOTUSED", | |
| "</s>NOTUSED" | |
| ], | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": { | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "unk_token": "<unk>" | |
| } | |