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Cohere
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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

@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 💪
English

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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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 🤝
English

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
English

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
English

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
English
Cohere retweetledi

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!

العربية

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…
English
Cohere retweetledi

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
English

A combination that doesn't exist anywhere else in Canada:
🔹 @Bell's national platform
🔹 @cohere's world-class enterprise AI solutions
🔹 @HypertecGroup's Canadian-built GPU servers
🔹 @BUZZHPC's AI factory and sovereign AI cloud
opendatascience.com/bell-cohere-hy…
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