Text Classification
Transformers
Safetensors
English
deberta
debarta
debarta-xlarge
emotions-classifier
Instructions to use AnkitAI/deberta-xlarge-base-emotions-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnkitAI/deberta-xlarge-base-emotions-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnkitAI/deberta-xlarge-base-emotions-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnkitAI/deberta-xlarge-base-emotions-classifier") model = AutoModelForSequenceClassification.from_pretrained("AnkitAI/deberta-xlarge-base-emotions-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Browse files
README.md
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| Evaluation Strategy | Epoch |
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| Best Model Accuracy | 94.6% |
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## License
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This model is licensed under the [MIT License](LICENSE).
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| Evaluation Strategy | Epoch |
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| Best Model Accuracy | 94.6% |
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## Support the Project
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If this model is useful in your work, you can support independent research:
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<p align="left">
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<a href="https://www.buymeacoffee.com/AnkitAI" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me a Coffee" height="60" width="217" /></a>
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</p>
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## License
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This model is licensed under the [MIT License](LICENSE).
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