Instructions to use lrzjason/noise-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lrzjason/noise-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="lrzjason/noise-classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("lrzjason/noise-classifier") model = AutoModelForImageClassification.from_pretrained("lrzjason/noise-classifier") - Notebooks
- Google Colab
- Kaggle
Any details on the model?
#1
by pxovela - opened
I'd love to know a bit more how it was trained.
Thanks a ton!
It used this sample code (https://huggingface.co/blog/fine-tune-vit) to train with a manually classified subset of hagrid hand gesture dataset (https://github.com/hukenovs/hagrid)
This is a mini project for classifying the noise image in hagrid dataset.
I just shared the dataset if you interested. https://huggingface.co/datasets/lrzjason/noise-classifier-dataset