Instructions to use jncraton/DeepScaleR-1.5B-Preview-ct2-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jncraton/DeepScaleR-1.5B-Preview-ct2-int8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jncraton/DeepScaleR-1.5B-Preview-ct2-int8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
57943ad | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:69d294c56299d75e754b6fa90535cdef8ec0a7ca4cf79abd4141589c0ed975b5
size 1781346837
|