Instructions to use SIRIS-Lab/Toscana-TechDomain-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SIRIS-Lab/Toscana-TechDomain-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SIRIS-Lab/Toscana-TechDomain-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SIRIS-Lab/Toscana-TechDomain-classifier") model = AutoModelForSequenceClassification.from_pretrained("SIRIS-Lab/Toscana-TechDomain-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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## Training results
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## Evaluation results (multilabel test set)
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| Panel | Precision | Recall | F1-score | Support |
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## Training results
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| Epoch | Training Loss | Duration seconds |
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| 1 | 0.1618 | 234.58 |
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| 2 | 0.0857 | 234.35 |
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| 3 | 0.0575 | 234.92 |
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| 4 | 0.0365 | 235.46 |
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| 5 | 0.0217 | 236.22 |
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## Evaluation results (multilabel test set)
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| Panel | Precision | Recall | F1-score | Support |
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