Instructions to use arvisioncode/qwen2-7b-instruct-trl-sft-Signature with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arvisioncode/qwen2-7b-instruct-trl-sft-Signature with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arvisioncode/qwen2-7b-instruct-trl-sft-Signature", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from arvisioncode/qwen2-7b-instruct-trl-sft-Signature: direct link, hf CLI and curl.
- Browser
- Download file 5.69 kB
-
https://huggingface.co/arvisioncode/qwen2-7b-instruct-trl-sft-Signature/resolve/main/training_args.bin
- Command line
-
hf download hf://arvisioncode/qwen2-7b-instruct-trl-sft-Signature/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/arvisioncode/qwen2-7b-instruct-trl-sft-Signature/resolve/main/training_args.bin
5.69 kB
- Xet hash:
- 739f4915418780ae05a3d35414bb96b9b466afb789b53717b96e0978a2f41b80
- Size of remote file:
- 5.69 kB
- SHA256:
- 68a18843224fb5340f93cc299b3b08ecd59905316d84039cf4cbbfea0d4bd064
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