Instructions to use adammandic87/17b31591-d5fe-4597-9a92-041d22621103 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adammandic87/17b31591-d5fe-4597-9a92-041d22621103 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama-chat") model = PeftModel.from_pretrained(base_model, "adammandic87/17b31591-d5fe-4597-9a92-041d22621103") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b11905f70c3df359e0a8a83b9a264b01cead1c9c9b1f1f10ffbc11cf54fe672d
- Size of remote file:
- 25.3 MB
- SHA256:
- 78c033299c65d778ebb71ab664aaefcd5b8da98ed5f66b8a49af9131bff9b04c
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