Instructions to use kajol/llama_code_expert_v01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kajol/llama_code_expert_v01 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "kajol/llama_code_expert_v01") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c6cc08788c8a48bbe44c80944ea360f6bb7b623c9d92b68b3af0a0634f43841
- Size of remote file:
- 4.86 kB
- SHA256:
- 8c733de40931e253cc7971df3e49e9c3a8c7999c20b7db1a17427f0ff0ac2ae9
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