Instructions to use Puujeeeeeeeeeeee/sft-task-patterns-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Puujeeeeeeeeeeee/sft-task-patterns-adapter with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Puujeeeeeeeeeeee/sft-task-patterns-adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- dcff391cd469455b3276394fcaef705fc311d548f366b86006266f0a5dc1b3d1
- Size of remote file:
- 69.8 MB
- SHA256:
- e90225957f8fb13bfe2bbc53e6f376b3aac17cfc803bd7ef753f9ec9f727afeb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.