Instructions to use Infernaught/phi_countdown_n25_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_n25_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_n25_mcl_256_quantized") - Notebooks
- Google Colab
- Kaggle
Download scheduler.pt from Infernaught/phi_countdown_n25_mcl_256_quantized: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/Infernaught/phi_countdown_n25_mcl_256_quantized/resolve/64ccf53418543104d63bbf5e4d9d0d8c8c64e96d/scheduler.pt
- Command line
-
hf download hf://Infernaught/phi_countdown_n25_mcl_256_quantized@64ccf53418543104d63bbf5e4d9d0d8c8c64e96d/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/Infernaught/phi_countdown_n25_mcl_256_quantized/resolve/64ccf53418543104d63bbf5e4d9d0d8c8c64e96d/scheduler.pt
1.06 kB
- Xet hash:
- 49f8146af9285580b2ace60b4cb0b59e64aa90a0e9c3ccfe9f8b1a24a10baa23
- Size of remote file:
- 1.06 kB
- SHA256:
- 6cbb5b2c88e3ea76629121435a15bdbc2e03e09f5da925c330a6c60b5f40a8fd
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