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:
- 7fe93ca729af650ade5a9471b3919d6549fbc2aff48cedca6c35910ca0ff2a3c
- Size of remote file:
- 160 MB
- SHA256:
- 6735cb28ffa8268b8651b80fd376756850c83cbfaa5e98ad31148b014f1ebe94
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