Instructions to use evalstate/lr-validation-qwen-5e-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use evalstate/lr-validation-qwen-5e-5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("evalstate/lr-validation-qwen-5e-5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from evalstate/lr-validation-qwen-5e-5: direct link, hf CLI and curl.
- Browser
- Download file 6.29 kB
-
https://huggingface.co/evalstate/lr-validation-qwen-5e-5/resolve/main/training_args.bin
- Command line
-
hf download hf://evalstate/lr-validation-qwen-5e-5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/evalstate/lr-validation-qwen-5e-5/resolve/main/training_args.bin
6.29 kB
- Xet hash:
- 639ce6381da982c68f489692b37ddf4303f6c80a929068aa56a00499cb582442
- Size of remote file:
- 6.29 kB
- SHA256:
- 3a5cbc6a37337afb64a16f6ea6b75a73bbd8dfaa0a5e52b2cefc02f6b6565647
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