Instructions to use haji80mr-uoft/Qwen2-1.5B-Instruct-robust-all-envs-20000-rank-128-tau-10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haji80mr-uoft/Qwen2-1.5B-Instruct-robust-all-envs-20000-rank-128-tau-10 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("haji80mr-uoft/Qwen2-1.5B-Instruct-robust-all-envs-20000-rank-128-tau-10", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b964300df7c2e42bb9571b17dfa6ce5a1976d4fbe6431ea83cbf17af188f4f1
- Size of remote file:
- 139 MB
- SHA256:
- 300a53cca89c359eb770db9485faf45c8acd34982d6ada02710ba15e4d01cf97
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