Video Classification
Transformers
Safetensors
egosieve
robotics
egocentric-video
video-quality
dataset-curation
physical-ai
custom_code
Eval Results (legacy)
Instructions to use itspublu/EgoSieve-S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itspublu/EgoSieve-S with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="itspublu/EgoSieve-S", trust_remote_code=True)# Load model directly from transformers import AutoModelForVideoClassification model = AutoModelForVideoClassification.from_pretrained("itspublu/EgoSieve-S", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 362 Bytes
40f8549 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"auto_map": {
"AutoProcessor": "processing_egosieve.EgoSieveProcessor"
},
"image_mean": [
0.485,
0.456,
0.406
],
"image_processor_type": "EgoSieveProcessor",
"image_std": [
0.229,
0.224,
0.225
],
"num_frames": 12,
"resample": 3,
"resize_shortest_edge": 256,
"size": {
"height": 518,
"width": 518
}
}
|