
# Model Card for xlm-roberta-large-squad2-csfever_v2-precision

## Model Details

Model for natural language inference trained as a part of bachelor thesis.

## Uses

### Transformers
```python
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("ctu-aic/xlm-roberta-large-squad2-csfever_v2-precision")
tokenizer = AutoTokenizer.from_pretrained("ctu-aic/xlm-roberta-large-squad2-csfever_v2-precision")

```

### Sentence Transformers
```python
from sentence_transformers.cross_encoder import CrossEncoder
model = CrossEncoder('ctu-aic/xlm-roberta-large-squad2-csfever_v2-precision')
scores = model.predict([["My first context.", "My first hypothesis."],  
                        ["Second context.", "Hypothesis."]])
```
{"language": ["cs"], "license": "cc-by-sa-4.0", "library_name": "sentence-transformers", "datasets": ["ctu-aic/csfever_v2"], "pipeline_tag": "text-classification"}
sentence-transformers pytorch xlm-roberta text-classification cs dataset:ctu-aic/csfever_v2 license:cc-by-sa-4.0 region:us
TAGS
#sentence-transformers #pytorch #xlm-roberta #text-classification #cs #dataset-ctu-aic/csfever_v2 #license-cc-by-sa-4.0 #region-us 


# Model Card for xlm-roberta-large-squad2-csfever_v2-precision

## Model Details

Model for natural language inference trained as a part of bachelor thesis.

## Uses

### Transformers


### Sentence Transformers

# Model Card for xlm-roberta-large-squad2-csfever_v2-precision ## Model Details

Model for natural language inference trained as a part of bachelor thesis. ## Uses ### Transformers ### Sentence Transformers
TAGS
#sentence-transformers #pytorch #xlm-roberta #text-classification #cs #dataset-ctu-aic/csfever_v2 #license-cc-by-sa-4.0 #region-us 
 # Model Card for xlm-roberta-large-squad2-csfever_v2-precision ## Model Details

Model for natural language inference trained as a part of bachelor thesis. ## Uses ### Transformers ### Sentence Transformers