Instructions to use Blitz0501/CodeLLama-SIFT-Methods2Test-300 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Blitz0501/CodeLLama-SIFT-Methods2Test-300 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-Instruct-hf") model = PeftModel.from_pretrained(base_model, "Blitz0501/CodeLLama-SIFT-Methods2Test-300") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from Blitz0501/CodeLLama-SIFT-Methods2Test-300: direct link, hf CLI and curl.
- Browser
- Download file 81.2 MB
-
https://huggingface.co/Blitz0501/CodeLLama-SIFT-Methods2Test-300/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Blitz0501/CodeLLama-SIFT-Methods2Test-300/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Blitz0501/CodeLLama-SIFT-Methods2Test-300/resolve/main/adapter_model.safetensors
81.2 MB
- Xet hash:
- dfeb62b4aa0151ef1f0f689580169f3c698714e5769333b82cc053d9dbc11a24
- Size of remote file:
- 81.2 MB
- SHA256:
- bceb88ec2b35fa2c9bd6431059a9d77993dd3cf2dceaaa29a64509f9df7a2f68
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