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Cohere

Cohere

@cohere

Own your AI. Empowering enterprises with private, powerful systems and builders with accessible, open-source models.

Katılım Kasım 2020
6 Takip Edilen117.7K Takipçiler
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Cohere
Cohere@cohere·
We’ve built Cohere Transcribe Arabic, the world’s most accurate open-source model for Arabic speech recognition. Available under Apache 2.0
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Cohere
Cohere@cohere·
@huggingface @polats Plus, a shoutout to Hanhee Lee, Javier Huang, and Joe Lee for winning Best Agent with their security camera agent Eyas, built for Lee's family's convenience store. Real problems, real solutions 💪
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Cohere
Cohere@cohere·
We co-sponsored the @huggingface hackathon with one purpose: get back to building small. Today, two projects using Cohere's models were awarded for their exceptional work creating something useful, whimsical, or just plain cool.
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Cohere
Cohere@cohere·
Trust and security has always been crucial to large enterprises. With AI advances, it's never been more important. The partnership between Cohere, @Nvidia, & @CoreWeave ensures reliability and confidence, keeping infrastructure protected at all times 🤝
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Cohere
Cohere@cohere·
Not everyone will succeed in the model business. "You've seen a lot of companies spend a huge amount on compute and then not end up with a good model." - @nickfrosst
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Cohere
Cohere@cohere·
Run Transcribe Arabic locally on your MacBook thanks to @Prince_Canuma and @lllucas 🚀 Keep track of meetings, dictate voice notes, and more. Ran locally via mlx-audio
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Prince Canuma
Prince Canuma@Prince_Canuma·
Congratulations to the @cohere team on the release of Cohere Transcribe Arabic! 🎉 Runs natively on mlx-audio (Python + Swift) from day-0 🚀 What's inside: → 2B params, Conformer encoder-decoder (audio-in, text-out) → Large Conformer encoder for acoustic representations + lightweight Transformer decoder for token generation → Built for Arabic dialects and Arabic-English code-switching → Auto-resampling to 16kHz + stereo→mono handling built into preprocessing → Apache 2.0 — fully open for community research Currently topping the Open Universal Arabic ASR Leaderboard 🥇 Get started today: 🐍 Python uv pip install -U mlx-audio 🍎 Swift github.com/Blaizzy/mlx-au…
Cohere@cohere

We’ve built Cohere Transcribe Arabic, the world’s most accurate open-source model for Arabic speech recognition. Available under Apache 2.0

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Cohere
Cohere@cohere·
The global ecosystem has recently learned what sovereign AI means: access to critical infrastructure that can't be revoked overnight. This is what Cohere was built to solve: your data, your weights, and operations that remain in your control. Otherwise, it's just a buzz word.
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Cohere retweetledi
Jay Alammar
Jay Alammar@JayAlammar·
نطلق اليوم نموذج @cohere Transcribe العربي، أفضل نموذج مفتوح المصدر لتحويل الكلام العربي من الصوت إلى نص، مع مراعاة اللهجات العربية المختلفة. يتصدر معيار Open Universal Arabic ASR Leaderboard. صُمم النموذج لدعم حالات تحويل الكلام بين العربية والانجليزية، والتعرف على اللهجات المختلفة، بالإضافة إلى اللغة الانجليزية باللكنات العربية. هذا يمكّن المطورين والشركات من بناء تجارب صوتية مذهلة لعملائهم. رابط التحميل في التعليقات. نتطلع إلى سماع تجاربكم له!
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Cohere
Cohere@cohere·
Sovereign AI belongs in all regions of the world. We’re working hard to make it accessible to everyone. Model weights are available on @huggingface. Run it anywhere from corporate hardware to your personal laptop. Try it out: huggingface.co/CohereLabs/coh…
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Cohere
Cohere@cohere·
Transcribe Arabic is built to bring frontier capabilities to the millions of Arabic speakers in business and developer communities. Built to handle code-switching, multiple dialects, and Arabic-accented English, we’re taking real-life transcription to the next level.
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Cohere
Cohere@cohere·
We’ve built Cohere Transcribe Arabic, the world’s most accurate open-source model for Arabic speech recognition. Available under Apache 2.0
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Ivan Zhang
Ivan Zhang@1vnzh·
1 in 4 people in Toronto this week works at Cohere
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Cohere
Cohere@cohere·
Cohere and there
Cohere tweet mediaCohere tweet mediaCohere tweet mediaCohere tweet media
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Cohere
Cohere@cohere·
At Cohere we deploy our models directly to our customers, instead of them sending data to us. It makes our job harder, but their business more secure: “When you’re using a consumer app, they are using the data you’re putting in there, training on it, all the time” - @nickfrosst
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