Instructions to use Ezre/bert-base-finetuned-sts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ezre/bert-base-finetuned-sts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ezre/bert-base-finetuned-sts")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ezre/bert-base-finetuned-sts") model = AutoModelForSequenceClassification.from_pretrained("Ezre/bert-base-finetuned-sts") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa8f10c86b9344a50b5f103ac96e80c6b7008f6d09dcafc65e498a612d0a924b
- Size of remote file:
- 3.44 kB
- SHA256:
- 7c36e9435885ba7cfcc60eb635b1f725b0836ad92bc20fbb7465fce985464201
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