Instructions to use arbinMichael/30stepphi35lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arbinMichael/30stepphi35lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/phi-3.5-mini-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "arbinMichael/30stepphi35lora") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from arbinMichael/30stepphi35lora: direct link, hf CLI and curl.
- Browser
- Download file 120 MB
-
https://huggingface.co/arbinMichael/30stepphi35lora/resolve/main/optimizer.pt
- Command line
-
hf download hf://arbinMichael/30stepphi35lora/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/arbinMichael/30stepphi35lora/resolve/main/optimizer.pt
120 MB
- Xet hash:
- 1476a44fdacf1c9b99a9b345b5479b357f817c9991e1cb256fa52622624a6384
- Size of remote file:
- 120 MB
- SHA256:
- f3d01ea0a9382904417c1cfc280adcc8939aa7904e2cc75ab6b156158ed76a4c
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