Instructions to use anhdai312/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anhdai312/test with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anhdai312/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- f9edb510744fc9e7524931324bb8f89a922ad42e2a4311cfdd3a560dba8fa5fb
- Size of remote file:
- 5.78 kB
- SHA256:
- 0933c8c794a94bc28945e2ba924b21edd955b2fcefe317bdb1fa65e85a637a03
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.