Image Classification
Transformers
TensorBoard
Safetensors
clip
Generated from Trainer
Eval Results (legacy)
Instructions to use habibi26/document-spoof-clip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use habibi26/document-spoof-clip with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="habibi26/document-spoof-clip") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("habibi26/document-spoof-clip") model = AutoModelForImageClassification.from_pretrained("habibi26/document-spoof-clip", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Jun26_07-40-55_a4870aece808
- Jun26_07-48-44_a4870aece808
- Jun26_07-59-13_a4870aece808
- Jun26_08-01-05_a4870aece808
- Jun26_08-03-10_a4870aece808
- Jun26_08-07-46_a4870aece808
- Jun26_08-18-44_a4870aece808
- Jun27_03-41-38_f6a9092bf1ae
- Jun27_03-46-25_f6a9092bf1ae
- Jun27_03-49-38_f6a9092bf1ae
- Jun28_02-28-31_d2b1278b1861