Instructions to use eeeebbb2/9affdde3-b794-49ba-807f-c318c64bc1be with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/9affdde3-b794-49ba-807f-c318c64bc1be with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceM4/tiny-random-LlamaForCausalLM") model = PeftModel.from_pretrained(base_model, "eeeebbb2/9affdde3-b794-49ba-807f-c318c64bc1be") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61bfaa76be4d3d0943f9f6af2a50121e81b84b4b5ac5c7b95f5902490b8397e9
- Size of remote file:
- 6.84 kB
- SHA256:
- 0c3b8c34305cdf34c3eb8eb408789b8924e0c50e02422ac5e768e8c135bfdca0
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