Instructions to use sgugger/test-upload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgugger/test-upload with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sgugger/test-upload")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sgugger/test-upload") model = AutoModel.from_pretrained("sgugger/test-upload") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af933ac478d1ddac8ffe6b1031a705fba7f172acd08547c8d483e2592a621275
- Size of remote file:
- 433 MB
- SHA256:
- 337a2012c43d9ffaddbfc4e06f994de76881eb52074f874b9df7a80107d84c63
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.