Instructions to use vinod9959/mistral-finetuned-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vinod9959/mistral-finetuned-samsum with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.1-GPTQ") model = PeftModel.from_pretrained(base_model, "vinod9959/mistral-finetuned-samsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 691f6853dfc7de69b33b5ec2c0e15eafd9ff20aec2d5f9fd1cfa0812ffa3dd27
- Size of remote file:
- 27.3 MB
- SHA256:
- 7b864c0fde6935ae9daeffe9c551ddd9b7ffe70c67ca316ab38dee13d4f8621c
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