Instructions to use andstor/bigcode-starcoderbase-unit-test-ia3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use andstor/bigcode-starcoderbase-unit-test-ia3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase") model = PeftModel.from_pretrained(base_model, "andstor/bigcode-starcoderbase-unit-test-ia3") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from andstor/bigcode-starcoderbase-unit-test-ia3: direct link, hf CLI and curl.
- Browser
- Download file 4.97 MB
-
https://huggingface.co/andstor/bigcode-starcoderbase-unit-test-ia3/resolve/main/adapter_model.bin
- Command line
-
hf download hf://andstor/bigcode-starcoderbase-unit-test-ia3/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/andstor/bigcode-starcoderbase-unit-test-ia3/resolve/main/adapter_model.bin
4.97 MB
- Xet hash:
- 9720e3f51e4775c8f02d06195b1aa8ec75dc7874a1228f5b9dece0ec8982a333
- Size of remote file:
- 4.97 MB
- SHA256:
- ca06713d12c40d16a47cb7eafda28e8b2b91bd066e23ba620e4830b6a389d209
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