Instructions to use amztheory/Llama-2-code-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use amztheory/Llama-2-code-python 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, "amztheory/Llama-2-code-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dea1d97df006f56c20c9e4bcf1b55beff6afb780323b244142130e87e8f831c3
- Size of remote file:
- 5.11 kB
- SHA256:
- 84177971dd94e6fd5245e9d823b1a2dae73c905768537ca34ba6c258e5823dd2
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