Instructions to use cosmo3769/tiny-bart-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cosmo3769/tiny-bart-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cosmo3769/tiny-bart-test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cosmo3769/tiny-bart-test") model = AutoModelForSequenceClassification.from_pretrained("cosmo3769/tiny-bart-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4045720b07a3b7b3e318a9e5117a41cd18c9bc6cb8c388cb04107f08f21c1b5f
- Size of remote file:
- 7.14 MB
- SHA256:
- ecb9e1b01206a9dd843b9c163421e29b8c57c58dcad9295ddead3ea149a2f964
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