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
- Xet hash:
- 3d1232b6083af20fdc41bbf4ad1c24666f2879f1315350f10748a863596637f1
- Size of remote file:
- 71.2 MB
- SHA256:
- a46771ac4af9d633a9928a3e0a9ad8d6013a551d6cd77aae1fb531c04da82d99
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.