Zero-Shot Image Classification
Transformers
Safetensors
Bengali
English
clip
fake-news-detection
multimodal
bangla
english
supervised-learning
fact-checking
image-text
misinformation
fine-tuned
Instructions to use jarif/Multimodal-BNEN-Fake-News-Scanner-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jarif/Multimodal-BNEN-Fake-News-Scanner-Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="jarif/Multimodal-BNEN-Fake-News-Scanner-Model") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("jarif/Multimodal-BNEN-Fake-News-Scanner-Model") model = AutoModelForZeroShotImageClassification.from_pretrained("jarif/Multimodal-BNEN-Fake-News-Scanner-Model") - Notebooks
- Google Colab
- Kaggle