Instructions to use hugginglearners/multi-object-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use hugginglearners/multi-object-classification with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("hugginglearners/multi-object-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f256791a5db80a816bd3460fba78d93fe97ea93cc817da22fc1d60426edce047
- Size of remote file:
- 87.7 MB
- SHA256:
- ee80dcde3b339465a07876565d06077638a6a2ae221c9146eeb1f53c74c68acb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.