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timkmecl/sloberta-esnli
sloberta-esnli is a text classification model from timkmecl. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as gpl-3.0.
SloBERTa model, fine-tuned for natural language inference on 50,000 samples from ESNLI dataset, machine translated to Slovene.
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From the Hugging Face model README
SloBERTa model, fine-tuned for natural language inference on 50,000 samples from ESNLI dataset, machine translated to Slovene.
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("timkmecl/sloberta-esnli")
model = AutoModelForMaskedLM.from_pretrained("timkmecl/sloberta-esnli")
Expected inputs are of the form
Premisa: {premise}
Hipoteza: {hypothesis}
with strings {premise} and {hypothesis} being replaced with premise and hypothesis in Slovene.
Class 0 is entailment, class 1 neutral and 2 contradiction.