Instructions to use chrisyrniu/mxt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chrisyrniu/mxt with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chrisyrniu/mxt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef3c8213c79a43dc9235697767ad04cd4d89d0fbf1b615ca0ed98fa78390e83a
- Size of remote file:
- 52.4 MB
- SHA256:
- aaa15e5ffcc46d91f53df96d4445ee3b72dda6ab2a459d36257091d26f14434f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.