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:
- 565f95c4163de60759be329f979c194cb8be2308deb0a693833c602bd045e341
- Size of remote file:
- 2.25 GB
- SHA256:
- 333197b1ae5d1d3ddd011d798d21984eb484dd3611aff9d5131d8557074dc832
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