Instructions to use mehmetdavut/ruby3.4-phi-3.5-mini-1k-all-16bit-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-16bit-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-16bit-gemini") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from mehmetdavut/ruby3.4-phi-3.5-mini-1k-all-16bit-gemini: direct link, hf CLI and curl.
- Browser
- Download file 101 MB
-
https://huggingface.co/mehmetdavut/ruby3.4-phi-3.5-mini-1k-all-16bit-gemini/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://mehmetdavut/ruby3.4-phi-3.5-mini-1k-all-16bit-gemini/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/mehmetdavut/ruby3.4-phi-3.5-mini-1k-all-16bit-gemini/resolve/main/adapter_model.safetensors
101 MB
- Xet hash:
- dcb39c567422a0d8f03b2064aadcce5aa05c82590acb4a4fb7b3c3cc46de5688
- Size of remote file:
- 101 MB
- SHA256:
- 8ceded59b3d9cc73e254947f845918a8b291be3f3bae67c81d603bccc435b595
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