Instructions to use thedeba/deb-bpe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thedeba/deb-bpe with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thedeba/deb-bpe", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from thedeba/deb-bpe: direct link, hf CLI and curl.
- Browser
- Download file 216 Bytes
-
https://huggingface.co/thedeba/deb-bpe/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://thedeba/deb-bpe/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/thedeba/deb-bpe/resolve/main/tokenizer_config.json
216 Bytes
| { | |
| "backend": "tokenizers", | |
| "bos_token": "[BOS]", | |
| "eos_token": "[EOS]", | |
| "is_local": true, | |
| "model_max_length": 2048, | |
| "pad_token": "[PAD]", | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": "[UNK]" | |
| } | |