Instructions to use ModelTC/bart-base-stsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelTC/bart-base-stsb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ModelTC/bart-base-stsb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ModelTC/bart-base-stsb") model = AutoModelForSequenceClassification.from_pretrained("ModelTC/bart-base-stsb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1db109717a7d5284d383bbd023eb1b0fd46cffbb640727a13c0a3dab430c1f7
- Size of remote file:
- 560 MB
- SHA256:
- bfe5ad0f1c0f94f8a461a095b975420733966fe44ff3960422974c3f70fb2499
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