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:
- 97c70566389c6b3eb49d1860c09284277be56c0950d852513eeda6736debdeef
- Size of remote file:
- 438 MB
- SHA256:
- f176bcb1ec117744db46b726426bebee101e9b9d7b56b1cf56265d46a09f491b
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