Instructions to use tarabukinivan/f94b9e93-1549-4614-8305-e88f316e122f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tarabukinivan/f94b9e93-1549-4614-8305-e88f316e122f 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, "tarabukinivan/f94b9e93-1549-4614-8305-e88f316e122f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b73c55f2d120ebcf7ee6ba0d0faff24c12fceadb490b4c1f0dae4541d610672
- Size of remote file:
- 6.71 kB
- SHA256:
- 1f9c1be8dce08388c9b14910d035e9f3403262ac0558ab71d7d6b5e79d359446
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