Instructions to use scottto/DeepScaleR-1.5B-Preview-q4f16_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scottto/DeepScaleR-1.5B-Preview-q4f16_1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("scottto/DeepScaleR-1.5B-Preview-q4f16_1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 150b4a420ecc300964ff4c9065e3725734bbda39904a3a699b8f7ee3f83600ee
- Size of remote file:
- 117 MB
- SHA256:
- cb48e34ad4670b766a3aab925108490990c92fd7f772c292b2e027b7011bec59
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.