Instructions to use adammandic87/16ffb724-d3ec-4ebd-8585-6e8875e4d054 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adammandic87/16ffb724-d3ec-4ebd-8585-6e8875e4d054 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, "adammandic87/16ffb724-d3ec-4ebd-8585-6e8875e4d054") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f31c2849c9cbd84df4ab82d0dd9dbb76f819fdc33dc956884d9d2e2f216a20a
- Size of remote file:
- 6.78 kB
- SHA256:
- c5699b92bee2104db55ff9ebc8a4e727cd7a6924600027bea4ea3e236ff42ab2
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