Zero-Shot Image Classification
Transformers
PyTorch
English
clip
geolocalization
geolocation
geographic
street
climate
urban
rural
multi-modal
geoguessr
Instructions to use geolocal/StreetCLIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use geolocal/StreetCLIP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="geolocal/StreetCLIP") 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("geolocal/StreetCLIP") model = AutoModelForZeroShotImageClassification.from_pretrained("geolocal/StreetCLIP") - Notebooks
- Google Colab
- Kaggle
Licensing
👍 1
#6 opened 12 months ago
by
shashi-netra
Great work, and thanks for sharing! I wrote a pipeline to reproduce the results from the paper, but the results are different.
1
#4 opened over 2 years ago
by
Zilun
Pre-defined "class names" list ?
#3 opened over 2 years ago
by
shodanx2
Adding `safetensors` variant of this model
#2 opened over 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot