Instructions to use bzhang0426/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bzhang0426/test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "bzhang0426/test") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from bzhang0426/test: direct link, hf CLI and curl.
- Browser
- Download file 27.4 MB
-
https://huggingface.co/bzhang0426/test/resolve/main/optimizer.pt
- Command line
-
hf download hf://bzhang0426/test/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/bzhang0426/test/resolve/main/optimizer.pt
27.4 MB
- Xet hash:
- 2fbb1e3816d9aa2e625f6a94bd032afc4a5b8f69c23058d5058691c63a176c88
- Size of remote file:
- 27.4 MB
- SHA256:
- a5dd9d23d4b2e62ce0c31babe11b5cf7c3ab645cfefabd9e0d89f10af63922ff
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