Instructions to use evalstate/lr-validation-qwen-1e-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use evalstate/lr-validation-qwen-1e-5 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("evalstate/lr-validation-qwen-1e-5", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e27f4a94e1575ea047bd09583876f2519e5cf42d53d864968f752b31ddb7e2f
- Size of remote file:
- 6.29 kB
- SHA256:
- 8212010f3fadc2ab2fd28106f9d4f206fd8c945e3ac7ee4746d8fed404a82820
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.