Instructions to use eliem/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eliem/lora_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eliem/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- f89510bb64428edd0816f804abe1cf86a7969df380fb401a30743f3b6a36aa7f
- Size of remote file:
- 78.5 MB
- SHA256:
- 30a26de136d6d3f2b94f8828047a177758a911628bc9c0d1525d26e2dcc1988e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.