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--- |
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license: cc-by-sa-4.0 |
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datasets: |
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- ctu-aic/csfever_v2 |
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language: |
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- cs |
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library_name: sentence-transformers |
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pipeline_tag: text-classification |
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--- |
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# Model Card for xlm-roberta-large-squad2-csfever_v2-precision |
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## Model Details |
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Model for natural language inference trained as a part of bachelor thesis. |
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## Uses |
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### Transformers |
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```python |
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from transformers import AutoModelForSequenceClassification, AutoTokenizer |
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model = AutoModelForSequenceClassification.from_pretrained("ctu-aic/xlm-roberta-large-squad2-csfever_v2-precision") |
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tokenizer = AutoTokenizer.from_pretrained("ctu-aic/xlm-roberta-large-squad2-csfever_v2-precision") |
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``` |
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### Sentence Transformers |
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```python |
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from sentence_transformers.cross_encoder import CrossEncoder |
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model = CrossEncoder('ctu-aic/xlm-roberta-large-squad2-csfever_v2-precision') |
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scores = model.predict([["My first context.", "My first hypothesis."], |
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["Second context.", "Hypothesis."]]) |
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``` |
