Instructions to use mehmetdavut/ruby3.4-phi-3.5-mini-1k-all-8bit-gemini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mehmetdavut/ruby3.4-phi-3.5-mini-1k-all-8bit-gemini 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, "mehmetdavut/ruby3.4-phi-3.5-mini-1k-all-8bit-gemini") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mehmetdavut/ruby3.4-phi-3.5-mini-1k-all-8bit-gemini: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/mehmetdavut/ruby3.4-phi-3.5-mini-1k-all-8bit-gemini/resolve/9649e3eb554f8d464adf1238af9895f523c0bb8a/training_args.bin
- Command line
-
hf download hf://mehmetdavut/ruby3.4-phi-3.5-mini-1k-all-8bit-gemini@9649e3eb554f8d464adf1238af9895f523c0bb8a/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mehmetdavut/ruby3.4-phi-3.5-mini-1k-all-8bit-gemini/resolve/9649e3eb554f8d464adf1238af9895f523c0bb8a/training_args.bin
5.5 kB
- Xet hash:
- ab082367fb425ce61994b8a32fecebac36a87a1cde4416cd1e13e3e7486bac02
- Size of remote file:
- 5.5 kB
- SHA256:
- d3ce9caf6416424b0efe1c4c09e316318709125fb5d5074caa0c62c286d804d3
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