Instructions to use deprem-ml/deprem-roberta-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deprem-ml/deprem-roberta-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="deprem-ml/deprem-roberta-intent")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("deprem-ml/deprem-roberta-intent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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**Evaluation**
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**Classification Report**
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**Evaluation**
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- 'eval_loss': 0.18568251545368838,
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- 'eval_runtime': 2.7693,
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- 'eval_samples_per_second': 254.935,
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- 'eval_steps_per_second': 8.305,
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- 'epoch': 3.0
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**Classification Report**
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```
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