---
library_name: peft
base_model: mistralai/Mistral-7B-v0.1
pipeline_tag: text-generation
---
Description: Does the hypothesis entail the premise?\
Original dataset: https://huggingface.co/datasets/glue/viewer/mnli \
---\
Try querying this adapter for free in Lora Land at https://predibase.com/lora-land! \
The adapter_category is Academic Benchmarks and the name is Natural Language Inference (MNLI)\
---\
Sample input: You are given a premise and a hypothesis below. If the premise entails the hypothesis, return 0. If the premise contradicts the hypothesis, return 2. Otherwise, if the premise does neither, return 1.\n\n### Premise: You and your friends are not welcome here, said Severn.\n\n### Hypothesis: Severn said the people were not welcome there.\n\n### Label: \
---\
Sample output: 0\
---\
Try using this adapter yourself!
```
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "mistralai/Mistral-7B-v0.1"
peft_model_id = "predibase/glue_mnli"

model = AutoModelForCausalLM.from_pretrained(model_id)
model.load_adapter(peft_model_id)
```