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"], )# pip install -U transformers accelerate # 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
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Download README.md from PS4Research/marimo-workshop-clip: direct link, hf CLI and curl.
- Browser
- Download file 946 Bytes
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https://huggingface.co/PS4Research/marimo-workshop-clip/resolve/main/README.md
- Command line
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hf download hf://PS4Research/marimo-workshop-clip/README.md
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curl -L -o README.md https://huggingface.co/PS4Research/marimo-workshop-clip/resolve/main/README.md
946 Bytes
metadata
license: mit
library_name: transformers
pipeline_tag: zero-shot-image-classification
base_model: openai/clip-vit-base-patch32
tags:
- clip
- marimo
- workshop
CLIP ViT-B/32 for the marimo workshop
An unmodified copy of openai/clip-vit-base-patch32 (revision 3d74acf9a28c67741b2f4f2ea7635f0aaf6f0268),
saved as safetensors with its pre-processor. It is pinned here so every workshop notebook loads exactly the same
weights that produced the vectors in
PS4Research/marimo-workshop-catalogue.
from transformers import CLIPModel, CLIPProcessor
model = CLIPModel.from_pretrained("PS4Research/marimo-workshop-clip")
processor = CLIPProcessor.from_pretrained("PS4Research/marimo-workshop-clip")
No fine-tuning was done. See the original model card for intended uses, limitations and biases.