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:
- ff81fa6afb0e583cba43e77fef4229af9e7d3799511a80f311fdd9457efaa503
- Size of remote file:
- 438 MB
- SHA256:
- 862b753b80c9791c7ee191b38bdf0183e5b0c2c219ba91e68b0ce6baa36a2cb3
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