Instructions to use dada22231/0e73288a-a41d-43de-8432-44fc255dc395 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/0e73288a-a41d-43de-8432-44fc255dc395 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, "dada22231/0e73288a-a41d-43de-8432-44fc255dc395") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 492d8bb34901813dfc1dafe2c24b8369478d419f6cb99bd9aa6386bb34b6b51e
- Size of remote file:
- 15 kB
- SHA256:
- 5dc533bebe23c86154fe6b264e274d2933d220ced8225d98c1d1d1108e607653
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