README.md

---\
library_name: peft\
Base model: mistralai/Mistral-7B-v0.1\
pipeline_tag: text-generation\
---\
Description: How similar are the sentences?\
Original dataset: glue_stsb \
---\
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 Sentence Similarity (STSB)\
---\
Sample input: You are given two sentences below, Sentence 1 and Sentence 2. Please determine, on a scale from 0 to 5, with 0 being least similar and 5 being most similar, how similar the two sentences are:\n\n### Sentence 1: A woman peels a potato.\n\n### Sentence 2: A woman is peeling a potato.\n\n### Similarity Score: \
---\
Sample output: 4.8\
---\
Try using this adapter yourself!
```
from transformers import AutoModelForCausalLM, AutoTokenizer

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

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