Instructions to use juniorVision/qwen2.5-14b-lora_r64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juniorVision/qwen2.5-14b-lora_r64 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("juniorVision/qwen2.5-14b-lora_r64", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7064c019b9f266534a0efb66bd21a0d72095495133c5c46c31da703d99b46ec7
- Size of remote file:
- 6.26 kB
- SHA256:
- 2ddd26c4bb0048f86a08c614d1c7c6f2bc11378e78ddb2816be445e4e60cdb70
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