Instructions to use Benjaminpwh/qwen2.5-7b-instruct-poly-adaLORA-6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Benjaminpwh/qwen2.5-7b-instruct-poly-adaLORA-6 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Benjaminpwh/qwen2.5-7b-instruct-poly-adaLORA-6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- fa229c91cb87898e0c1aa4c53ea1a74e1e71ab130df5488876e2737b7db4b5a9
- Size of remote file:
- 1.47 kB
- SHA256:
- 66cabb8580b4ba6871cf5b8e167ebb49cd8739bf0a95de61069095e646bc9e9b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.