hellaswag_processed / README.md
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metadata
library_name: peft
base_model: mistralai/Mistral-7B-v0.1
pipeline_tag: text-generation

Description: Sentence completion
Original dataset: https://huggingface.co/datasets/Rowan/hellaswag
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Try querying this adapter for free in Lora Land at https://predibase.com/lora-land!
The adapter_category is Other and the name is Open-Ended Sentence Completion (hellaswag)
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Sample input: You are provided with an incomplete passage below. Please read the passage and then finish it with an appropriate response. For example:\n\n### Passage: My friend and I think alike. We\n\n### Ending: often finish each other's sentences.\n\nNow please finish the following passage:\n\n### Passage: Numerous people are watching others on a field. Trainers are playing frisbee with their dogs. the dogs\n\n### Ending:
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Sample output: are running around the field.
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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/hellaswag_processed"

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