Instructions to use SirajRLX/task2file with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SirajRLX/task2file with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SirajRLX/task2file", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48247a6c58e1b4f2c9684f52eab2c3b1476f71068cc1a2a182e7ab8487a716ec
- Size of remote file:
- 403 MB
- SHA256:
- d041d1505290b0d22cce08cd5ddc5af28c3ba276e2afbc492822b36858ef6b6e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.