Instructions to use tktung/ssd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tktung/ssd with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tktung/ssd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 671921430b872b4757586e19a7309c4c9a4a3d35ea08580c50b9f8f4af5b45d2
- Size of remote file:
- 559 kB
- SHA256:
- 3d1f5d0342153f3e3bbb37b2026ba64d0b25583df351345f87cd8b9a5658c2fb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.