Instructions to use d8912046/lora_model_test11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use d8912046/lora_model_test11 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("d8912046/lora_model_test11", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 549a283197d3c28045de01a7c8e219b064f6c5732a19236156ce0a77b344a76b
- Size of remote file:
- 97.3 MB
- SHA256:
- 3810156f87373dd8974fcf89bf7df51ba601d7d3b8f9d571cb94b6009c0eaee5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.