Instructions to use darshanmakwana/qwen2-tots with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darshanmakwana/qwen2-tots with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("darshanmakwana/qwen2-tots", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from darshanmakwana/qwen2-tots: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/darshanmakwana/qwen2-tots/resolve/main/training_args.bin
- Command line
-
hf download hf://darshanmakwana/qwen2-tots/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/darshanmakwana/qwen2-tots/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- 8ca0a17888bf850b69d440999221acd7d4f6c019265c371c8bb02e6c11259917
- Size of remote file:
- 5.62 kB
- SHA256:
- d407a7ff4086781e4456b598ce756219f459bf46f4750fc5a21633e71a87a5bf
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