Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
This model represents the official checkpoint of the paper titled "Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation".
Bingxin…
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SpeechT5 (TTS task)
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FlagEmbedding Model List | FAQ | Usage | Evaluation | Train | Contact | Citation | License More details please refer to our Github: FlagEmbedding. English | 䏿–‡ FlagEmbedding focuses on retrieval-augmented LLMs, consisting of the following…
Update: PR is merged, llama.cpp now natively supports these models Important: Verify that processing a simple question with any image at least uses 1200 tokens of prompt processing, that shows…
About
This was trained by using TinyLlama as the base model using the BakLlava repo.
Examples
Prompt for both was, "What is shown in the given image?"…
Depth Anything model, large
The model card for our paper Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data.
You may also try our demo and visit our project…
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Bark
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Suno Usage
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Text to semantic tokens
Semantic to coarse tokens
Coarse to fine tokens
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