Instructions to use Kartik305/starcoderbase-smol-python-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Kartik305/starcoderbase-smol-python-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase") model = PeftModel.from_pretrained(base_model, "Kartik305/starcoderbase-smol-python-lora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Kartik305/starcoderbase-smol-python-lora: direct link, hf CLI and curl.
- Browser
- Download file 71.2 MB
-
https://huggingface.co/Kartik305/starcoderbase-smol-python-lora/resolve/main/adapter_model.bin
- Command line
-
hf download hf://Kartik305/starcoderbase-smol-python-lora/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Kartik305/starcoderbase-smol-python-lora/resolve/main/adapter_model.bin
71.2 MB
- Xet hash:
- 3d1232b6083af20fdc41bbf4ad1c24666f2879f1315350f10748a863596637f1
- Size of remote file:
- 71.2 MB
- SHA256:
- a46771ac4af9d633a9928a3e0a9ad8d6013a551d6cd77aae1fb531c04da82d99
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