Instructions to use fals3/bigcode-starcoder2-7b-unit-test-prompt-tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fals3/bigcode-starcoder2-7b-unit-test-prompt-tuning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-7b") model = PeftModel.from_pretrained(base_model, "fals3/bigcode-starcoder2-7b-unit-test-prompt-tuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 252374ef7b7da58e9d18789226f5d3e57d5e327f168f3d13c93e894dea4bf96b
- Size of remote file:
- 5.18 kB
- SHA256:
- 6e6e26365d176b91f72fc44bc56c08003e7c4480edbc16678983bc0be643553e
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