Instructions to use allout2726/model_sft_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allout2726/model_sft_lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("allout2726/model_sft_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1eb8150a632ab3911abfab69207b8ede44460dd3c2a6e609514fa1b622dcd26b
- Size of remote file:
- 148 MB
- SHA256:
- f45acbca2a7d16f9e107384ece91b233add59c10fdb349b64fdaa4904df5f30a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.