Instructions to use igzi/lora-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use igzi/lora-sst2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "igzi/lora-sst2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5449fe79775859d8ec5c08e818e872b79d9e315a3a6e134e828b5912d0417176
- Size of remote file:
- 20.7 MB
- SHA256:
- 8546a5b3ce7d754e6fb83d874bb434a089d4d859a135006620eab0aed2332351
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