Instructions to use Faradaylab/ARIA-CODE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Faradaylab/ARIA-CODE with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-34b-Instruct-hf") model = PeftModel.from_pretrained(base_model, "Faradaylab/ARIA-CODE") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6a668a190283ab8597fa82121ed6c2eed02132a1f537f1387c57fea44ab8c60
- Size of remote file:
- 78.7 MB
- SHA256:
- ace53239c99917123166bd91fbd74256200caf026ae5de156fc97b21a6dbd47a
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