Instructions to use vincentclaes/emoji-predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vincentclaes/emoji-predictor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="vincentclaes/emoji-predictor") 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("vincentclaes/emoji-predictor") model = AutoModelForZeroShotImageClassification.from_pretrained("vincentclaes/emoji-predictor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af5feedbb70c279647530d5906659f90e13dce83348ccc01e78a11b610e75187
- Size of remote file:
- 605 MB
- SHA256:
- cb96163ca56b1df4d459e48aecbac047dad70b5cd954268ef80138b74716754c
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