Instructions to use hf-internal-testing/tiny-random-hubert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-hubert with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-hubert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82e2139f64be9cf25ee3dec8711ae22950c8140f7c2c76c3ce59565b506d0db7
- Size of remote file:
- 1.34 MB
- SHA256:
- 6dae950b6f0912e20db9b1ffdc923bfa10afb3c8bbba0ce3db511d41ce3b1be1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.