Instructions to use Rexe/Deci-Decicoder-1b-lora-coder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rexe/Deci-Decicoder-1b-lora-coder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Deci/DeciCoder-1b") model = PeftModel.from_pretrained(base_model, "Rexe/Deci-Decicoder-1b-lora-coder") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Rexe/Deci-Decicoder-1b-lora-coder: direct link, hf CLI and curl.
- Browser
- Download file 8.22 MB
-
https://huggingface.co/Rexe/Deci-Decicoder-1b-lora-coder/resolve/main/adapter_model.bin
- Command line
-
hf download hf://Rexe/Deci-Decicoder-1b-lora-coder/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Rexe/Deci-Decicoder-1b-lora-coder/resolve/main/adapter_model.bin
8.22 MB
- Xet hash:
- 1e4c04bd8b44b361eff1351a7bc85929999f1ca5ebc59038f1021382343bbf14
- Size of remote file:
- 8.22 MB
- SHA256:
- acfee3b4a62139a84084bd7cb7447fb3839699e837cc82da8ae986218f9d360f
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