Instructions to use Charley890/adaption_python_code_snippets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Charley890/adaption_python_code_snippets with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/Llama-4-Scout-17B-16E-Instruct_bnb_4bit") model = PeftModel.from_pretrained(base_model, "Charley890/adaption_python_code_snippets") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from Charley890/adaption_python_code_snippets: direct link, hf CLI and curl.
- Browser
- Download file 893 MB
-
https://huggingface.co/Charley890/adaption_python_code_snippets/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Charley890/adaption_python_code_snippets/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Charley890/adaption_python_code_snippets/resolve/main/adapter_model.safetensors
893 MB
- Xet hash:
- e712dc30551b4eebfd822771d3126eadc6fc199bdfc845fd3f350201e3b09d4f
- Size of remote file:
- 893 MB
- SHA256:
- 24a8d8aac3be78af13566f28f1fc1ef38335b24ec5e38a06649640fa8d788880
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