Instructions to use hy1111/CLIP-RS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hy1111/CLIP-RS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="hy1111/CLIP-RS")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("hy1111/CLIP-RS") model = AutoModelForZeroShotImageClassification.from_pretrained("hy1111/CLIP-RS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| # CLIP-RS Model Metadata | |
| name: CLIP-RS | |
| version: 1.0.0 | |
| description: Vision-Language Pre-training with Data Purification for Remote Sensing | |
| model_type: clip | |
| base_model: openai/clip-vit-large-patch14-336 | |
| training_dataset: CLIP-RS-10M | |
| developer: WHU-RS institute for AI and Machine Vision |