Instructions to use tensorboy/test_clf_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tensorboy/test_clf_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tensorboy/test_clf_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tensorboy/test_clf_test") model = AutoModelForSequenceClassification.from_pretrained("tensorboy/test_clf_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36cece7a667593638fec1769290dcdd3be301e915394709895fe2c310e293480
- Size of remote file:
- 438 MB
- SHA256:
- 3d3333a11bebd0868d8027a3db4c606bc83a9f47f7565897b41b6fc5f288d1ed
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