Instructions to use Manik444/qwen_sft2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Manik444/qwen_sft2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Manik444/qwen_sft2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from Manik444/qwen_sft2: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Manik444/qwen_sft2/resolve/main/tokenizer.json
- Command line
-
hf download hf://Manik444/qwen_sft2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Manik444/qwen_sft2/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 84057876e745b7621cb1b682794c63e6425660ba452648e9c935a59e11a2f499
- Size of remote file:
- 11.4 MB
- SHA256:
- 962b8d8c521fefa934665afddae177326e974ddd6a26e69ff31ad6bccbb5593b
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