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:
- 7c68340428423efd0228bc82154ec6bf569132761707f6a48bcf6bf8470dfabd
- Size of remote file:
- 14.2 kB
- SHA256:
- d8b308b5e594ea75d70a9db0c7e4c8ae8b3c774396b79358868a60b3a58dba9e
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