Instructions to use AyoubChLin/LFM2.5-1.2B-Instruct-Saudi-Dialect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AyoubChLin/LFM2.5-1.2B-Instruct-Saudi-Dialect with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AyoubChLin/LFM2.5-1.2B-Instruct-Saudi-Dialect", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from AyoubChLin/LFM2.5-1.2B-Instruct-Saudi-Dialect: direct link, hf CLI and curl.
- Browser
- Download file 490 Bytes
-
https://huggingface.co/AyoubChLin/LFM2.5-1.2B-Instruct-Saudi-Dialect/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://AyoubChLin/LFM2.5-1.2B-Instruct-Saudi-Dialect/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/AyoubChLin/LFM2.5-1.2B-Instruct-Saudi-Dialect/resolve/main/tokenizer_config.json
490 Bytes
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<|startoftext|>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|im_end|>", | |
| "is_local": false, | |
| "legacy": false, | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<|pad|>", | |
| "sp_model_kwargs": {}, | |
| "spaces_between_special_tokens": false, | |
| "tokenizer_class": "TokenizersBackend", | |
| "use_default_system_prompt": false, | |
| "use_fast": true | |
| } | |