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nits: mask-generation task (#461)
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Co-authored-by: Merve Noyan <[email protected]>
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pcuenca and merveenoyan authored Jan 26, 2024
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Expand Up @@ -6,7 +6,7 @@ When filtering for an image, the generated masks might serve as an initial filte

### Masked Image Modelling

Generating masks can be done to facilitate learning, especially in semi- or unsupervised learning. For example, the [BEiT](https://huggingface.co/docs/transformers/model_doc/beit) use image masked patches in the pre-training.
Generating masks can be done to facilitate learning, especially in semi- or unsupervised learning. For example, the [BEiT model](https://huggingface.co/docs/transformers/model_doc/beit) uses image-masked patches in the pre-training.

### Human-in-the-loop

Expand All @@ -25,7 +25,6 @@ from transformers import pipeline
generator = pipeline("mask-generation", device = 0, points_per_batch = 256)
image_url = "https://huggingface.co/ybelkada/segment-anything/resolve/main/assets/car.png"
outputs = generator(image_url, points_per_batch = 256)

```

## Useful Resources
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