metadata
library_name: peft
base_model: mistralai/Mistral-7B-v0.1
pipeline_tag: text-generation
Description: Grammar and syntax acceptability
Original dataset: https://huggingface.co/datasets/glue/viewer/cola
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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 Linguistic Acceptability (CoLA)
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Sample input: Determine if the sentence below is syntactically and semantically correct. If it is syntactically and semantically correct, respond "1". Otherwise, respond "0".\n\nSentence: Every senator seems to become more corrupt, as he talks to more lobbyists.\n\nLabel:
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Sample output: 1
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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_cola"
model = AutoModelForCausalLM.from_pretrained(model_id)
model.load_adapter(peft_model_id)