Instructions to use tomekkorbak/test23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tomekkorbak/test23 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("tomekkorbak/test23") model = AutoModel.from_pretrained("tomekkorbak/test23") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c8dd3d53b859860f50f7c8da295d6a9675f86f50cf715551e7c86e8b0bb7921
- Size of remote file:
- 510 MB
- SHA256:
- c8fae964c08277528b5a830d8ebd959d217362888361ba953d5ae6af9c09a416
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.