Instructions to use cwaud/29a9a50b-b225-4aac-afd7-8d1228fe1ff4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cwaud/29a9a50b-b225-4aac-afd7-8d1228fe1ff4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "cwaud/29a9a50b-b225-4aac-afd7-8d1228fe1ff4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e9a129aa426e98443fa3551fee2adc1b81f851343b1823966ca7adc2bd3167a
- Size of remote file:
- 6.71 kB
- SHA256:
- 3cd151660018b691f4494b5d43b1d8aa9a78460158a27000a6d2980f75ca8cbd
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