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
Download adapter_model.bin from Kartik305/starcoderbase-smol-java-lora: direct link, hf CLI and curl.
- Browser
- Download file 71.2 MB
-
https://huggingface.co/Kartik305/starcoderbase-smol-java-lora/resolve/main/adapter_model.bin
- Command line
-
hf download hf://Kartik305/starcoderbase-smol-java-lora/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Kartik305/starcoderbase-smol-java-lora/resolve/main/adapter_model.bin
71.2 MB
- Xet hash:
- 6b656cf85b3c6b041202355b484aaf81573b28b01554c678509d3f343d764e66
- Size of remote file:
- 71.2 MB
- SHA256:
- 63a0a55eb6f28df9ac5672c7fc496382bcecd2ea1a7791a7f99d50e791f29c31
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