Instructions to use ineskoder/ref-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ineskoder/ref-model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TonyMDSA/Phi-2_finetune_MCQ") model = PeftModel.from_pretrained(base_model, "ineskoder/ref-model") - Notebooks
- Google Colab
- Kaggle
Download scheduler.pt from ineskoder/ref-model: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/ineskoder/ref-model/resolve/main/scheduler.pt
- Command line
-
hf download hf://ineskoder/ref-model/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/ineskoder/ref-model/resolve/main/scheduler.pt
1.06 kB
- Xet hash:
- 7b30ef4f181656a60807b8a610ef394ae54482ff051d8c2ce4417cc8ba7a3032
- Size of remote file:
- 1.06 kB
- SHA256:
- 3d941148f6fbea982037f40cba4a5678f7333a94406b91707d64cd5f6064f89b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.