Instructions to use ajayarora1235/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ajayarora1235/outputs with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ajayarora1235/outputs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d232872d47a17dd211bde4985d1023162199d9bf514dd3ef41d51f209727515
- Size of remote file:
- 5.56 kB
- SHA256:
- 340c769c870a1ab87b07d225e064361be81918aa96ad287e64696072097df50c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.