apple/FastVLM-1.5B#

From Plugin

Note

This is a remotely-sourced model from the fast_vlm plugin, maintained by the community. It is not part of FiftyOne core and may have special installation requirements. Please review the plugin documentation and license before use.

FastVLM is a vision-language model from Apple that excels at visual question answering and image classification tasks. It supports both zero-shot classification and open-ended VQA with customizable prompts..

Details

  • Model name: apple/FastVLM-1.5B

  • Model source: https://huggingface.co/apple/FastVLM-1.5B

  • Model author: Apple

  • Model license: Apple-AMLR

  • Exposes embeddings? no

  • Tags: vision-language, vqa, multimodal, transformers, torch

Requirements

  • Packages: torch, transformers

  • CPU support

    • yes

  • GPU support

    • yes

Example usage

 1import fiftyone as fo
 2import fiftyone.zoo as foz
 3
 4foz.register_zoo_model_source("https://github.com/harpreetsahota204/fast_vlm")
 5
 6dataset = foz.load_zoo_dataset(
 7    "coco-2017",
 8    split="validation",
 9    dataset_name=fo.get_default_dataset_name(),
10    max_samples=50,
11    shuffle=True,
12)
13
14model = foz.load_zoo_model("apple/FastVLM-1.5B")
15
16dataset.apply_model(model, label_field="predictions")
17
18session = fo.launch_app(dataset)