Instructions to use mqddd/starcoder2-3b-lora-improvement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mqddd/starcoder2-3b-lora-improvement 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-improvement") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b6e46d5d7ceb4394fca926ecedcd70a83ac00536b3d292cd99344fef718a2e1
- Size of remote file:
- 5.5 kB
- SHA256:
- 6fb1c886fd1e38dd6b4e6b4836915557668e0eae1b72e6476a0663387a9f0c77
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