Instructions to use Infernaught/phi_countdown_n100_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_n100_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_n100_mcl_256_quantized") - Notebooks
- Google Colab
- Kaggle
Download scheduler.pt from Infernaught/phi_countdown_n100_mcl_256_quantized: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/Infernaught/phi_countdown_n100_mcl_256_quantized/resolve/bc7c8538e289d3e4ee83e972ca7b79b010a6734f/scheduler.pt
- Command line
-
hf download hf://Infernaught/phi_countdown_n100_mcl_256_quantized@bc7c8538e289d3e4ee83e972ca7b79b010a6734f/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/Infernaught/phi_countdown_n100_mcl_256_quantized/resolve/bc7c8538e289d3e4ee83e972ca7b79b010a6734f/scheduler.pt
1.06 kB
- Xet hash:
- 1b859c34717f77448c160f36631ddfcb17349d6d4a68610df01afd40f25f6071
- Size of remote file:
- 1.06 kB
- SHA256:
- 157488aabe3e3a3d69331e12ad906e4041818e78393c1fdcb2cb7857a7689d9e
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