Instructions to use Kartik305/starcoderbase-smol-java-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Kartik305/starcoderbase-smol-java-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-java-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a33f368ada5b5cf3d010b58e2e5956bd8b9cb7556c516be1c1f8ed47ef6bdb7
- Size of remote file:
- 35.9 MB
- SHA256:
- 7d8acf4752aa201bd652f1b01f15d6bf4e6df069787da74fc9291fca2a1df924
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