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 optimizer.pt from ineskoder/ref-model: direct link, hf CLI and curl.
- Browser
- Download file 17.7 MB
-
https://huggingface.co/ineskoder/ref-model/resolve/b05c6a458d4062bc701860920df4fbeb804a2490/optimizer.pt
- Command line
-
hf download hf://ineskoder/ref-model@b05c6a458d4062bc701860920df4fbeb804a2490/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ineskoder/ref-model/resolve/b05c6a458d4062bc701860920df4fbeb804a2490/optimizer.pt
17.7 MB
- Xet hash:
- 82c9b76ace77854ae869f6bdebb547f26aaecd948dd14ce0d39061593b156595
- Size of remote file:
- 17.7 MB
- SHA256:
- 2d5ae0ae6d31cb8f6896bee6baaa485168a271952c1b07e2085987163263cfb5
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