Instructions to use orisuchy/Descriptive_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orisuchy/Descriptive_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="orisuchy/Descriptive_Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("orisuchy/Descriptive_Classifier") model = AutoModelForSequenceClassification.from_pretrained("orisuchy/Descriptive_Classifier") - Notebooks
- Google Colab
- Kaggle
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README.md
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"""
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Output:
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[{'label': 'Not Descriptive', 'score': 0.
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"""
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```
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Created by Daniel Smotritsky & Ori Suchy
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"""
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Output:
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[{'label': 'Not Descriptive', 'score': 0.999901533126831}]
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"""
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```
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Created by Daniel Smotritsky & Ori Suchy
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