Text Classification
Transformers
PyTorch
Catalan
roberta
catalan
paraphrase
textual entailment
Eval Results (legacy)
text-embeddings-inference
Instructions to use projecte-aina/roberta-large-ca-paraphrase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use projecte-aina/roberta-large-ca-paraphrase with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="projecte-aina/roberta-large-ca-paraphrase")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("projecte-aina/roberta-large-ca-paraphrase") model = AutoModelForSequenceClassification.from_pretrained("projecte-aina/roberta-large-ca-paraphrase") - Notebooks
- Google Colab
- Kaggle
Commit ·
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README.md
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pipeline_tag: text-classification
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language:
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- ca
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metrics:
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value: 0.
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---
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language:
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- ca
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metrics:
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type: f1
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value: 0.86678
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- name: Accuracy
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type: accuracy
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value: 0.86175
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type: combined_score
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value: 0.86426
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widget:
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