Instructions to use igzi/lora-sentiment140 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use igzi/lora-sentiment140 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-sentiment140") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84b1d9057bc6bfd880ac5525bf70fab35afdfac11a06f8f2b7b99bca222b0680
- Size of remote file:
- 20.7 MB
- SHA256:
- 535cef1c95f3a3634043001332941e349341dcd733db84ad221f1732bc1c95a1
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