Instructions to use Jialuo21/SciScore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jialuo21/SciScore with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="Jialuo21/SciScore") 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("Jialuo21/SciScore") model = AutoModelForZeroShotImageClassification.from_pretrained("Jialuo21/SciScore", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de2e44cbe5c5b437053684264f580375e7cd5f858554170e9c93d53b54bfeba2
- Size of remote file:
- 3.94 GB
- SHA256:
- 87b2a6b0dc83a2d00548679d5fd79b374607a7bd7b1b0d88fe9ac40d25575c51
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