Image Classification
timm
English
gravitational-waves
ligo
vision-transformer
glitch-classification
gravity-spy
physics
deep-learning
spectrograms
continuous-gravitational-waves
resnet
detector-characterization
Eval Results (legacy)
Instructions to use JesseWeigel/ligo-glitch-vit-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use JesseWeigel/ligo-glitch-vit-cnn with timm:
import timm model = timm.create_model("hf_hub:JesseWeigel/ligo-glitch-vit-cnn", pretrained=True) - Notebooks
- Google Colab
- Kaggle
| ["1080Lines", "1400Ripples", "Air_Compressor", "Blip", "Blip_Low_Frequency", "Chirp", "Extremely_Loud", "Fast_Scattering", "Helix", "Koi_Fish", "Light_Modulation", "Low_Frequency_Burst", "Low_Frequency_Lines", "No_Glitch", "Paired_Doves", "Power_Line", "Repeating_Blips", "Scattered_Light", "Scratchy", "Tomte", "Violin_Mode", "Wandering_Line", "Whistle"] |