Instructions to use nghodki/controlhub_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nghodki/controlhub_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "nghodki/controlhub_lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb1ffb64d5887b42d0221620be86d2f08fcce086a73598ef80aa95ac418f3f0f
- Size of remote file:
- 4.86 kB
- SHA256:
- 2aac056156494d1affc99c89b0c1dc83f164933a762e2a28f3f36ab7c0df9c5f
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