Instructions to use PS4Research/marimo-workshop-clip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PS4Research/marimo-workshop-clip with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="PS4Research/marimo-workshop-clip") 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("PS4Research/marimo-workshop-clip") model = AutoModelForZeroShotImageClassification.from_pretrained("PS4Research/marimo-workshop-clip", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4ed4b854409acd3c0a3b9488230d5266e4dd72441a3d3cc39db1ace9c5151d4
- Size of remote file:
- 605 MB
- SHA256:
- d5853196afb60ca6373692d9af911aacd8fa821af6d4af54720d4eb9c8f5da0a
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