Instructions to use Infernaught/test_ap_weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Infernaught/test_ap_weights with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/tiny-random-LlamaForCausalLM") model = PeftModel.from_pretrained(base_model, "Infernaught/test_ap_weights") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cacfe3abdc218fdc394906cae15f8faaa451580e3e73ae7bfd6ff22abfaafa78
- Size of remote file:
- 1.41 kB
- SHA256:
- 108c34baf12e4a937dafed4bf435d88ca9f4303128e0d54b5ec7c9e427ea9ce7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.