Instructions to use Vandita/TinyBERT-Linear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vandita/TinyBERT-Linear with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Vandita/TinyBERT-Linear", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 094c018df586cca32776947f30828faafc8774058c3249f4a78ff3a1c924af2b
- Size of remote file:
- 59.5 MB
- SHA256:
- ff87cd4b96621b1c0f98aa70020cb454686d9b7b612ebfb8e862b0628b8245f0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.