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:
- 6db5239f254b8770a123d8c2a20414c38919b70bf088ebfa1402445ceed2fa10
- Size of remote file:
- 443 MB
- SHA256:
- 040e23dbdd1742dbc60eaa84786bd8e6411606a68fcd8e6a6ed28dce9ac3992a
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