Instructions to use azazen/train-dump with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use azazen/train-dump with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("azazen/train-dump", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c40ca9d36671da9a430c3f035e8081165e9dc650be3f455a40acdaca2d8ae65
- Size of remote file:
- 106 MB
- SHA256:
- ce9aa45316aa39be5f96ec05aeec0b17b3b9f9dd3bb29a685946b1cf32fc03fa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.