README.md

---\
library_name: peft\
Base model: mistralai/Mistral-7B-v0.1\
pipeline_tag: text-generation\
---\
Description: Sentence completion\
Original dataset: hellaswag_processed \
---\
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)\
---\
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: \
---\
Sample output: are running around the field.\
---\
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)
```