Instructions to use alex2awesome/source-type-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alex2awesome/source-type-model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("alex2awesome/source-type-model") model = AutoModel.from_pretrained("alex2awesome/source-type-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae839ffa5d39c45edee49649b406fe845230e6bce3c7b571d9edd74a658d5867
- Size of remote file:
- 501 MB
- SHA256:
- 109014a027aaec8b7d48d2f59dc8cbec166ac4ea628e58b4a85447b83db5a607
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.