Instructions to use Nithish2410/parallell-ai-zero with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nithish2410/parallell-ai-zero with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Nithish2410/parallell-ai-zero", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a092a778d82d2d3f72afd8777917834bff9d07becdc637b394db36c2b8766b3
- Size of remote file:
- 149 MB
- SHA256:
- af06e7131d9873c3fae81292aef912cebe635f6394b27107686f5b491a699a1e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.