Instructions to use Alphatao/8ef4bcaf-1ec1-40e2-9283-01f57fa7f87c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Alphatao/8ef4bcaf-1ec1-40e2-9283-01f57fa7f87c 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, "Alphatao/8ef4bcaf-1ec1-40e2-9283-01f57fa7f87c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ecada1828445f9464d8201ceb8df23f383fd832de9b8f9d988160c82c7c431c
- Size of remote file:
- 671 MB
- SHA256:
- 858b7f8a833780ad1556ae09861a4790ca694d394e1fdf2dae39c33925777192
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