Instructions to use mqddd/starcoder2-3b-lora-test-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mqddd/starcoder2-3b-lora-test-qa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "mqddd/starcoder2-3b-lora-test-qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7042e87f347a79295f3e7df9d5fc6ba59dca5208268eaee97415e34dd5e0a96c
- Size of remote file:
- 48.2 MB
- SHA256:
- e35b5274e0b5e1cc9879557d80c0ec5452566d92b7445b9ef1f3310aba607f3e
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