Instructions to use BechirS/tiny-aya-global-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BechirS/tiny-aya-global-SFT with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BechirS/tiny-aya-global-SFT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from BechirS/tiny-aya-global-SFT: direct link, hf CLI and curl.
- Browser
- Download file 589 Bytes
-
https://huggingface.co/BechirS/tiny-aya-global-SFT/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://BechirS/tiny-aya-global-SFT/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/BechirS/tiny-aya-global-SFT/resolve/main/tokenizer_config.json
589 Bytes
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": "<BOS_TOKEN>", | |
| "clean_up_tokenization_spaces": false, | |
| "cls_token": "<CLS>", | |
| "eos_token": "<|END_OF_TURN_TOKEN|>", | |
| "errors": "replace", | |
| "is_local": false, | |
| "legacy": true, | |
| "local_files_only": false, | |
| "mask_token": "<MASK_TOKEN>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<PAD>", | |
| "sep_token": "<SEP>", | |
| "sp_model_kwargs": {}, | |
| "spaces_between_special_tokens": false, | |
| "tokenizer_class": "CohereTokenizer", | |
| "unk_token": "<UNK>", | |
| "use_default_system_prompt": false | |
| } | |