Instructions to use flax-community/mr-inltk-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/mr-inltk-classifier with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("flax-community/mr-inltk-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95526c69b032eb60b42b60ea2ad8fea504dad4413029f097833eb1b592647443
- Size of remote file:
- 499 MB
- SHA256:
- eb70c316132e5807fd500ebe4534dc298a95042249dfd53b91e16e99660ffe68
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.