Instructions to use denbeo/23c3f37b-5d4c-4783-adf7-f3d13ea8fc4e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use denbeo/23c3f37b-5d4c-4783-adf7-f3d13ea8fc4e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0") model = PeftModel.from_pretrained(base_model, "denbeo/23c3f37b-5d4c-4783-adf7-f3d13ea8fc4e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1267ff6c692a941dc253fcbd57a31a08f06c40dcf3747058e31ae140a1f8b760
- Size of remote file:
- 83.9 MB
- SHA256:
- 872c37a2911f58b8584056869892973cd0a595506bcafa6908d685e1d93a9215
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