Instructions to use datalab-to/inline_math_det0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datalab-to/inline_math_det0 with Transformers:
# Load model directly from transformers import EfficientViTForSemanticSegmentation model = EfficientViTForSemanticSegmentation.from_pretrained("datalab-to/inline_math_det0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 646f37c559d2c15d8af384704b610847895c5f1f1ae44c71960716fe9187b63b
- Size of remote file:
- 76.9 MB
- SHA256:
- 9b76351d8edff1a49f4d5302f2c423f18bbb09368849a9c336f16fe543e84f15
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.