Instructions to use WpythonW/Lora-new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WpythonW/Lora-new with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WpythonW/Lora-new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from WpythonW/Lora-new: direct link, hf CLI and curl.
- Browser
- Download file 165 MB
-
https://huggingface.co/WpythonW/Lora-new/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://WpythonW/Lora-new/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/WpythonW/Lora-new/resolve/main/adapter_model.safetensors
165 MB
- Xet hash:
- e2dcaecf186974b35a218569c1cfe5315b6fc2dfe2813dc19aafbe60b4a2b67a
- Size of remote file:
- 165 MB
- SHA256:
- 79c9ba669b00b58bb7268d9d2115642e313ed1bca46eacc394d37854ee1717f2
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