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:
- 56df019284f5754bc22d45bca9a8fa8573f5c80612382a75eecda30dd08f8852
- Size of remote file:
- 14.4 kB
- SHA256:
- dd2da46ffb954cfc74b78ce483fb4c572f1f78405babc2eea451c116d7cb5114
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