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:
- b54f4a25057eb43fcfd4d3671c88ca94cb06b6aac44a0cbc0d895738c42710bd
- Size of remote file:
- 149 MB
- SHA256:
- 70082afdeb199ff1edf421b08f0781dcc6502e6e97be37729451a91ada2b9fa4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.