Instructions to use MSweetbread/qwen2.5-1.5b-chess-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MSweetbread/qwen2.5-1.5b-chess-qlora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MSweetbread/qwen2.5-1.5b-chess-qlora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from MSweetbread/qwen2.5-1.5b-chess-qlora: direct link, hf CLI and curl.
- Browser
- Download file 668 Bytes
-
https://huggingface.co/MSweetbread/qwen2.5-1.5b-chess-qlora/resolve/75d2410d22f1ee6c317beff190ddb7d36fb1c393/tokenizer_config.json
- Command line
-
hf download hf://MSweetbread/qwen2.5-1.5b-chess-qlora@75d2410d22f1ee6c317beff190ddb7d36fb1c393/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/MSweetbread/qwen2.5-1.5b-chess-qlora/resolve/75d2410d22f1ee6c317beff190ddb7d36fb1c393/tokenizer_config.json
668 Bytes
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": null, | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|endoftext|>", | |
| "errors": "replace", | |
| "extra_special_tokens": [ | |
| "<|im_start|>", | |
| "<|im_end|>", | |
| "<|object_ref_start|>", | |
| "<|object_ref_end|>", | |
| "<|box_start|>", | |
| "<|box_end|>", | |
| "<|quad_start|>", | |
| "<|quad_end|>", | |
| "<|vision_start|>", | |
| "<|vision_end|>", | |
| "<|vision_pad|>", | |
| "<|image_pad|>", | |
| "<|video_pad|>" | |
| ], | |
| "is_local": false, | |
| "model_max_length": 131072, | |
| "pad_token": "<|endoftext|>", | |
| "split_special_tokens": false, | |
| "tokenizer_class": "Qwen2Tokenizer", | |
| "unk_token": null | |
| } | |