Instructions to use meric/peft-starcoder-lora-a100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use meric/peft-starcoder-lora-a100 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "meric/peft-starcoder-lora-a100") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30ea0292f7d0a2290617de3058e4a92050cb3e12a7c0c4240fad67aca01761cf
- Size of remote file:
- 5.24 kB
- SHA256:
- 44247f62593364b3ebda986e87fe266d7a3ff925a32d6ddfc97be8e3aafde6b8
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