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library_name: peft
Base model: mistralai/Mistral-7B-v0.1
pipeline_tag: text-generation
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Description: How similar are the sentences?
Original dataset: glue_stsb
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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)
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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:
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Sample output: 4.8
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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)