README.md

metadata

license: cc-by-sa-4.0
datasets:
  - ctu-aic/csfever_v2
language:
  - cs
library_name: sentence-transformers
pipeline_tag: text-classification

Model Card for xlm-roberta-large-squad2-csfever_v2-f1

Model Details

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

Uses

Transformers

from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("ctu-aic/xlm-roberta-large-squad2-csfever_v2-f1")
tokenizer = AutoTokenizer.from_pretrained("ctu-aic/xlm-roberta-large-squad2-csfever_v2-f1")

Sentence Transformers

from sentence_transformers.cross_encoder import CrossEncoder
model = CrossEncoder('ctu-aic/xlm-roberta-large-squad2-csfever_v2-f1')
scores = model.predict([["My first context.", "My first hypothesis."],  
                        ["Second context.", "Hypothesis."]])