Instructions to use kokovova/11c561bd-fc4b-4cd2-af7c-6c97ffe633ba with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kokovova/11c561bd-fc4b-4cd2-af7c-6c97ffe633ba 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, "kokovova/11c561bd-fc4b-4cd2-af7c-6c97ffe633ba") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0465c8499ef51236f713d5f07e22a29b9dc2ce7194a5f2b7ee949e9eabaab93c
- Size of remote file:
- 336 MB
- SHA256:
- 99a7c5c254407ea8a80950d525acecf97f137c7db77b62090dd53a3393d49d80
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