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Democratizar el PLN en español e incentivar su aplicación para generar impacto social 💛

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alvarobartt 
posted an update about 1 month ago
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Learn how to deploy Microsoft Research VibeVoice ASR on Microsoft Azure Foundry with Hugging Face to generate rich audio transcriptions with Who, When, and What! 💥

> 🕒 60-minute single-pass processing, no chunking or stitching
> 👤 Customized hotwords to guide recognition on domain-specific content
> 📝 Rich transcription: joint ASR + diarization + timestamping in one pass
> 🌍 50+ languages with automatic detection and code-switching support
> 🤗 Deployed on Microsoft Foundry via an OpenAI-compatible Chat Completions API

https://huggingface.co/docs/microsoft-azure/foundry/examples/deploy-vibevoice-asr
alvarobartt 
posted an update 2 months ago
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💥 hf-mem v0.4.1 now also estimates KV cache memory requirements for any context length and batch size with the --experimental flag!

uvx hf-mem --model-id ... --experimental will automatically pull the required information from the Hugging Face Hub to include the KV cache estimation, when applicable.

💡 Alternatively, you can also set the --max-model-len, --batch-size and --kv-cache-dtype arguments (à la vLLM) manually if preferred.
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davidberenstein1957 
posted an update 4 months ago
davidquicast 
posted an update 4 months ago
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Check out your 2025 Hugging Face Wrapped, a small experimental recap
hf-wrapped/2025
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davidquicast 
posted an update 8 months ago
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Just applied for HF Community Grant for “Hugging Research” — a lightweight CodeAgent‑based research assistant built on Hugging Face’s Open Deep Research project for the Hugging Face Hub (models, datasets, Spaces, users, collections, papers). It gathers links via dedicated tools and organizes them for easy review.

As this is for the community, comments and suggestions are appreciated: https://huggingface.co/spaces/daqc/hugging-research/discussions/1#68a94d9bcb035c54bc671119