Instructions to use arbinMichael/100stepphi7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arbinMichael/100stepphi7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/phi-3-medium-4k-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "arbinMichael/100stepphi7") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from arbinMichael/100stepphi7: direct link, hf CLI and curl.
- Browser
- Download file 132 MB
-
https://huggingface.co/arbinMichael/100stepphi7/resolve/main/optimizer.pt
- Command line
-
hf download hf://arbinMichael/100stepphi7/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/arbinMichael/100stepphi7/resolve/main/optimizer.pt
132 MB
- Xet hash:
- 7be6fafa70e6ccee45e14b5502a999b5def5ba9fa2aa285d1fc43c99de752ae6
- Size of remote file:
- 132 MB
- SHA256:
- b4fc0a22aa273b7a6c52487b900acaf323d9ed7bb84fe5df71f1895fd46e08c1
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