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:
- 435c3206f71d3ef7a3b0172d397be791705e1fcc2dd242d696de92aaabf7414d
- Size of remote file:
- 1.12 GB
- SHA256:
- 32d6ce2c3b19c7e62b9429536d03dbf0304321164af2bb96abf80e0468bf1cd9
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