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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Created by Daniel Smotritsky & Ori Suchy
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[GitHub](https://github.com/orisuchy/miniProject_DHU)
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<iframe src="https://wandb.ai/orisuchy/huggingface/reports/Shared-panel-22-03-01-15-03-08--VmlldzoxNjI5MjM0?highlightShare" style="border:none;height:1024px;width:100%">
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"""
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```
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Created by Daniel Smotritsky & Ori Suchy
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<br>
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[GitHub](https://github.com/orisuchy/miniProject_DHU)
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<iframe src="https://wandb.ai/orisuchy/huggingface/reports/Shared-panel-22-03-01-15-03-08--VmlldzoxNjI5MjM0?highlightShare" style="border:none;height:1024px;width:100%">
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