Instructions to use eustlb/tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eustlb/tmp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="eustlb/tmp")# Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("eustlb/tmp") model = AutoModel.from_pretrained("eustlb/tmp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 293bd75f89e75f94fcf4ee81aa1aa137b469e4a8a1d62c76c9b222c9e7fdfcac
- Size of remote file:
- 806 MB
- SHA256:
- ffa4dc30be0c84ced0a4305037bdb4622bf3f1d48db053ccb97333e884998d13
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.