Instructions to use augustinLib/test_upload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use augustinLib/test_upload with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="augustinLib/test_upload")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("augustinLib/test_upload") model = AutoModelForSequenceClassification.from_pretrained("augustinLib/test_upload") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8a9ccbecfb4c41cf3ede168502ba8e6c6827d86853613976643b4647ea914aa
- Size of remote file:
- 4.6 kB
- SHA256:
- b22a71821f93440419d19e0e6147fda1614dc31eb888fc009e9642b0d8637c27
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