Instructions to use pbpb/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use pbpb/checkpoints with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "pbpb/checkpoints") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 149faa754559b3a2f77d7c97192c426f5bf381037264face11af904d67370a4f
- Size of remote file:
- 4.92 kB
- SHA256:
- b13a66e884a80df58c1f4648d0e35c5ac834ee6071f679c2fffce46da2ade535
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.