Instructions to use PhucNT2511/Qwen2-FT-MyDataset-SchedulerCosine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PhucNT2511/Qwen2-FT-MyDataset-SchedulerCosine with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("PhucNT2511/Qwen2-FT-MyDataset-SchedulerCosine", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from PhucNT2511/Qwen2-FT-MyDataset-SchedulerCosine: direct link, hf CLI and curl.
- Browser
- Download file 370 Bytes
-
https://huggingface.co/PhucNT2511/Qwen2-FT-MyDataset-SchedulerCosine/resolve/f774b1d99ed792c0b80f091406982b32daee4625/special_tokens_map.json
- Command line
-
hf download hf://PhucNT2511/Qwen2-FT-MyDataset-SchedulerCosine@f774b1d99ed792c0b80f091406982b32daee4625/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/PhucNT2511/Qwen2-FT-MyDataset-SchedulerCosine/resolve/f774b1d99ed792c0b80f091406982b32daee4625/special_tokens_map.json
370 Bytes
| { | |
| "additional_special_tokens": [ | |
| "<|im_start|>", | |
| "<|im_end|>" | |
| ], | |
| "eos_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |