Instructions to use SnehaPriyaaMP/code_validator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SnehaPriyaaMP/code_validator with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "SnehaPriyaaMP/code_validator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a020c2d9b2c3248f41c5d42257613a7c2e21da311fd48eeb9f45452cc4254caa
- Size of remote file:
- 168 MB
- SHA256:
- 84d07438af31f5b5fab6013920534846043a04c6a622221605225cfc4051cb87
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