Instructions to use fals3/bigcode-starcoder2-3b-unit-test-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use fals3/bigcode-starcoder2-3b-unit-test-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "fals3/bigcode-starcoder2-3b-unit-test-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fed77136c253a61e1efe191fa7b10aa97f289c4d529ef83f4b16715245f1be0
- Size of remote file:
- 5.11 kB
- SHA256:
- ad9e931c0e755deb4725af954a1e7491fa6ba2b23fa3b2edd81b722cd953faa1
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