Instructions to use evalstate/lr-validation-qwen-1e-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use evalstate/lr-validation-qwen-1e-4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("evalstate/lr-validation-qwen-1e-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fad12dd009a7a24978500b0e489c4be611ff1cc82f04644836b4d951eb9a2975
- Size of remote file:
- 6.29 kB
- SHA256:
- 16b644d9dff0d59360a3bf737bccb6c96368933652fe04579bd24e6838a07640
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.