Instructions to use pedropei/sentence-level-certainty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pedropei/sentence-level-certainty with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pedropei/sentence-level-certainty")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pedropei/sentence-level-certainty") model = AutoModelForSequenceClassification.from_pretrained("pedropei/sentence-level-certainty") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33326acbefde0cd6586ba914f56d2d26faf0d6609f1e64a16b5297c6c61c336e
- Size of remote file:
- 440 MB
- SHA256:
- c8b62d7f768ca5547dcec284f79b9764882bb01bd52abee1b018cab058ed6537
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