Image Classification
Transformers
Safetensors
English
siglip
Emoji-Scope
Google
CrossEmoji Classifier
Instructions to use prithivMLmods/Emoji-Scope with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Emoji-Scope with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Emoji-Scope") 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("prithivMLmods/Emoji-Scope") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Emoji-Scope", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-268/optimizer.pt from prithivMLmods/Emoji-Scope: direct link, hf CLI and curl.
- Browser
- Download file 687 MB
-
https://huggingface.co/prithivMLmods/Emoji-Scope/resolve/main/checkpoint-268/optimizer.pt
- Command line
-
hf download hf://prithivMLmods/Emoji-Scope/checkpoint-268/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/prithivMLmods/Emoji-Scope/resolve/main/checkpoint-268/optimizer.pt
687 MB
- Xet hash:
- 8ac702539dac871000314c5d2a6e0a23c7f0426281b513e4d64001c4b914cd68
- Size of remote file:
- 687 MB
- SHA256:
- 91a56c4c545fd93e857b77d577a5680d08d3d8ec201b7aedd90ca87067696bb7
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