Instructions to use Infernaught/phi_countdown_n50_mcl_256_quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Infernaught/phi_countdown_n50_mcl_256_quantized with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "Infernaught/phi_countdown_n50_mcl_256_quantized") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5c69a1161c85895269814781689e597e5082a93fde93966c0999c550fcdb57e
- Size of remote file:
- 6.26 kB
- SHA256:
- 829163fa2d710893bafd02b9215996c0c74249f45ef202d0f52193bdc474d99d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.