fine-tuning: https://
huggingface.co/blog/mms_adapt
ers
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MULTIMODAL AI
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Fine-tuning MMS Adapters on Hugging Face
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Meta AI Scales Speech Technology to Over 1000 Languages
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Meta AI released Scaling Speech Technology to 1,000+ Languages
— AK (@_akhaliq) 21 juin 2023
demo: https://t.co/1yMek3Uzbl
Expanding the language coverage of speech technology has the potential to improve access to information for many more people. However, current speech technology is restricted to about… pic.twitter.com/BHmA7J5YnWMeta AI released Scaling Speech Technology to 1,000+ Languages demo: https://
huggingface.co/spaces/mms-met
a/MMS
… Expanding the language coverage of speech technology has the potential to improve access to information for many more people. However, current speech technology is restricted to about -
MMS Integration in Transformers: Easy Inference and Fine-Tuning
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5 / 5 We've integrated MMS into Transformers making the models very easy to use for both inference and fine-tuning. Demo https://
huggingface.co/spaces/faceboo
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Docs https://
huggingface.co/docs/transform
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MMS Adapters: Training Efficient Multilingual Language Models
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4 / 5 To adapt to 1000+ different vocabularies, MMS uses Adapters – a training method where only a small fraction of model weights are trained Adapter layers act like linguistic bridges, enabling the model to leverage knowledge from one language when deciphering another.
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MMS AI Transcribes 1000+ Languages Including Endangered Tongues
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3 / 5 MMS is capable of transcribing 1,000+ languages, many of which are endangered, such as Ari or Kaivi. In the future, MMS can play a vital role in keeping languages alive by helping the remaining speakers to create written records and communicating in their native tongue.
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Meta’s Multilingual Speech Model Democratizes AI Access Globally
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Meta AI's recently released "Massively Multilingual Speech" (MMS) model is a huge step forward towards democratizing
Speech to every corner of the globe. In addition, it might also play a significant role in preserving global linguistic diversity. https://
huggingface.co/papers/2305.13
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Multitrack Music Transcription with Time-Frequency Perceiver
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Multitrack Music Transcription with a Time-Frequency Perceiver paper page: https://
huggingface.co/papers/2306.10
785
… Multitrack music transcription aims to transcribe a music audio input into the musical notes of multiple instruments simultaneously. It is a very challenging task that typically -
MotionGPT: Finetuned LLMs for General-Purpose Motion Generation
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MotionGPT: Finetuned LLMs are General-Purpose Motion Generators
— AK (@_akhaliq) 21 juin 2023
paper page: https://t.co/FJM2YqZwHR
Generating realistic human motion from given action descriptions has experienced significant advancements because of the emerging requirement of digital humans. While recent… pic.twitter.com/DgUkKy7T7rMotionGPT: Finetuned LLMs are General-Purpose Motion Generators paper page: https://
huggingface.co/papers/2306.10
900
… Generating realistic human motion from given action descriptions has experienced significant advancements because of the emerging requirement of digital humans. While recent -
HomeRobot: Open-Vocabulary Mobile Manipulation for Object Picking
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HomeRobot: Open-Vocabulary Mobile Manipulation
— AK (@_akhaliq) 21 juin 2023
paper page: https://t.co/Bg5DY8snQ8
Open-Vocabulary Mobile Manipulation (OVMM) is the problem of picking any object in any unseen environment, and placing it in a commanded location. This is a foundational challenge for robots to… pic.twitter.com/J4atienxw2HomeRobot: Open-Vocabulary Mobile Manipulation paper page: https://
huggingface.co/papers/2306.11
565
… Open-Vocabulary Mobile Manipulation (OVMM) is the problem of picking any object in any unseen environment, and placing it in a commanded location. This is a foundational challenge for robots to -
Point-Cloud Completion Using Pretrained Text-to-Image Diffusion Models
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Point-Cloud Completion with Pretrained Text-to-image Diffusion Models paper page: https://
huggingface.co/papers/2306.10
533
… Point-cloud data collected in real-world applications are often incomplete. Data is typically missing due to objects being observed from partial viewpoints, which only