Image Feature Extraction
Transformers
Safetensors
dinov2_with_registers
geospatial
remote-sensing
multimodal
self-supervised
dinov2
titaan
Instructions to use hwh-datascience/TITAAN-SD-yearly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hwh-datascience/TITAAN-SD-yearly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hwh-datascience/TITAAN-SD-yearly")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hwh-datascience/TITAAN-SD-yearly") model = AutoModel.from_pretrained("hwh-datascience/TITAAN-SD-yearly", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!