@huggingface - AI Dynamics

Meta releases SAM vision model checkpoints on Hugging Face

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20 April 2023 19h27

Link to model checkpoints: base model: https://
huggingface.co/facebook/sam-v
it-base
…
large model: https://
huggingface.co/facebook/sam-v
it-large
…
huge model: https://
huggingface.co/facebook/sam-v
it-huge
… Use them right now on transformers main branch, by installing the library from source

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20 April 2023

Using AutoModel.from_pretrained for Model Deployment

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@huggingface

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20 April 2023 19h27

… and here is what is needed to use the model! Just call AutoModel.from_pretrained

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20 April 2023

Automatic Mask Generation Pipeline with Few Lines Code

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@huggingface

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20 April 2023 19h27

All these features with few lines of code!
Here is what is needed now to run the automatic mask generation pipeline

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20 April 2023

Segment Anything Model: Bounding boxes to segmentation masks

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@huggingface

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20 April 2023 19h27

Provide a set of bounding boxes or a set 2D points and predict the segmentation mask of the object of interest! Check the detailed notebook here: https://
github.com/huggingface/no
tebooks/blob/main/examples/segment_anything.ipynb
…

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20 April 2023

Automatic mask generation pipeline released by Hugging Face

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@huggingface

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20 April 2023 19h27

Automatic mask generation pipeline! With one line of code predict automatically the segmentation masks of a given image (similar as the examples above) Check out the example notebook: https://
github.com/huggingface/no
tebooks/blob/main/examples/automatic_mask_generation.ipynb
…

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20 April 2023

SAM Model Documentation and Features Overview

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@huggingface

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20 April 2023 19h27

You can first read more about the model, and learn how to use it on our documentation page: https://
huggingface.co/docs/transform
ers/main/en/model_doc/sam
…
Let's check all the features we support below!

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20 April 2023

SAM Meta Segmentation Model Now Available in Transformers

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@huggingface

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20 April 2023 19h27

SAM, the groundbreaking segmentation model from @Meta is now in available in Transformers!
What does this mean? 1. One line of code to load it, one line to run it
2. Efficient batching support to generate multiple masks
3. pipeline support for easier usage More details:

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20 April 2023

Beijing AI Community Meetup: JAX Diffusers Sprint with Google Cloud

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@huggingface

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20 April 2023 11h45

Our FIRST community meetup in Beijing is ON LIVE
With @googlecloud
, we empower the AI enthusiasts to develop their project with JAX Diffusers You can still join our ongoing sprint: https://
github.com/huggingface/co
mmunity-events/tree/main/jax-controlnet-sprint
…"

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20 April 2023