Instructions to use r-three/lora_baseline_10_lr3e-4_step100_rank64_boolean_expressions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use r-three/lora_baseline_10_lr3e-4_step100_rank64_boolean_expressions with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "r-three/lora_baseline_10_lr3e-4_step100_rank64_boolean_expressions") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59a5823e38240e7e87ce7c28780b980e5dd7a0e53ff0c5ae549d690475fe2ff6
- Size of remote file:
- 6.35 kB
- SHA256:
- 6e2c175f4d14c6e4e0bff82bbe83beb3f257ab74658329cc09e65e43ce8f3c9f
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