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")# pip install -U transformers accelerate # 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
Training in progress, epoch 16
Browse files
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