Instructions to use soumyasanyal/nli-entailment-verifier-xxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use soumyasanyal/nli-entailment-verifier-xxl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("soumyasanyal/nli-entailment-verifier-xxl") model = AutoModelForSeq2SeqLM.from_pretrained("soumyasanyal/nli-entailment-verifier-xxl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# entailment-verifier-xxl
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## Model description
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Entailment-verifier-xxl is based on [flan-t5-xxl model](https://huggingface.co/google/flan-t5-xxl) and finetuned with a ranking objective (rank the most supported hypothesis from a given pair of hypotheses for a given premise). Please refer to our paper [
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It is built to verify whether a given premise entails (or supports) a hypothesis or not. It works for both NLI-style of datasets and CoT rationales.
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# entailment-verifier-xxl
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## Model description
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Entailment-verifier-xxl is based on [flan-t5-xxl model](https://huggingface.co/google/flan-t5-xxl) and finetuned with a ranking objective (rank the most supported hypothesis from a given pair of hypotheses for a given premise). Please refer to our paper [Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification](https://arxiv.org/abs/2402.03686) for more detals.
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It is built to verify whether a given premise entails (or supports) a hypothesis or not. It works for both NLI-style of datasets and CoT rationales.
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