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-804/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-804/optimizer.pt
- Command line
-
hf download hf://prithivMLmods/Emoji-Scope/checkpoint-804/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/prithivMLmods/Emoji-Scope/resolve/main/checkpoint-804/optimizer.pt
687 MB
- Xet hash:
- 14e44a530f7ddbec10fda2f07ba3cb6c37335bb8aceac543cbe443363e0249a0
- Size of remote file:
- 687 MB
- SHA256:
- 3bbca1da75dcd894d02769993215514eaa74aafa2fe7bc0ff7e91ac98cd0cb43
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