Text Classification
Transformers
Safetensors
English
deberta-v2
product-detection
hazard-detection
text-embeddings-inference
Instructions to use Quintu/deberta-multitask-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Quintu/deberta-multitask-v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Quintu/deberta-multitask-v0")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Quintu/deberta-multitask-v0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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base_model:
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- microsoft/deberta-v3-large
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---
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Multi-Task Product and Hazard Classifier
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This model performs multi-task classification to predict both product categories and hazard categories from text descriptions. It's based on DeBERTa-v3 architecture and trained to identify product types and potential hazards simultaneously.
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license: apache-2.0
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base_model:
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- microsoft/deberta-v3-large
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language: en
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tags:
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- text-classification
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- product-detection
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- hazard-detection
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datasets:
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- your-dataset-name
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library_name: transformers
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pipeline_tag: text-classification
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---
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Multi-Task Product and Hazard Classifier
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This model performs multi-task classification to predict both product categories and hazard categories from text descriptions. It's based on DeBERTa-v3 architecture and trained to identify product types and potential hazards simultaneously.
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