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:
- 654bc68c8dc3f63268eb7ab0ccddab5f6ca93eca9b2981e8c93e0cb856279400
- Size of remote file:
- 4.79 kB
- SHA256:
- eadaf60b1ad18ba3d412829fc852d9983dd67bd19f3f2ef3a02cb894edef6004
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