Instructions to use Anish13/checkpoint-151000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anish13/checkpoint-151000 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Anish13/checkpoint-151000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6df3f612bb3463998c144deb610ce997bf5368b87f86951628f7020e5f5ae3c7
- Size of remote file:
- 5.24 kB
- SHA256:
- f9fa96709080660bd8cc9f0d22bfdaeb9b087cf28ed91ce3b020bf8b10cd95d4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.