Instructions to use saresri/opt350m-lora-pruned-magnited-2-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use saresri/opt350m-lora-pruned-magnited-2-4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("saresri/pruned_opt") model = PeftModel.from_pretrained(base_model, "saresri/opt350m-lora-pruned-magnited-2-4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37a4f1fde81ff29f30e05bb29b3975f7c06aad6df59ecf588b8c4e9fbfdccf48
- Size of remote file:
- 5.37 kB
- SHA256:
- 9a31dedfbf9ce674c63eaf88436b27dd966bb53c7c01b203bcbc45beb9575811
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