Andres Marafioti

andito

AI & ML interests

Multimodal models, VLM and TTS

Articles

Organizations

andito's activity

upvoted an article 5 days ago
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FineVideo: behind the scenes

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upvoted 2 articles 10 days ago
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Powerful ASR + diarization + speculative decoding with Hugging Face Inference Endpoints

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Fine-tuning LLMs to 1.58bit: extreme quantization made easy

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upvoted 2 articles 13 days ago
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A failed experiment: Infini-Attention, and why we should keep trying?

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Accelerate 1.0.0

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upvoted an article 24 days ago
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Announcing New Dataset Search Features

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upvoted 4 articles about 1 month ago
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DEMO: French Spoken Language Understanding with the new speech resources from NAVER LABS Europe

By mzboito β€’
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Scaling robotics datasets with video encoding

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Deep Learning over the Internet: Training Language Models Collaboratively

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upvoted 3 articles about 1 month ago
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The 5 Most Under-Rated Tools on Hugging Face

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Deploy Meta Llama 3.1 405B on Google Cloud Vertex AI

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upvoted 2 articles about 2 months ago
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XetHub is joining Hugging Face!

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Introducing TextImage Augmentation for Document Images

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upvoted 5 articles 2 months ago
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LAVE: Zero-shot VQA Evaluation on Docmatix with LLMs - Do We Still Need Fine-Tuning?

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Llama 3.1 - 405B, 70B & 8B with multilinguality and long context

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Cosmopedia: how to create large-scale synthetic data for pre-training Large Language Models

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Docmatix - a huge dataset for Document Visual Question Answering

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SmolLM - blazingly fast and remarkably powerful

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upvoted 3 articles 3 months ago
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How NuminaMath Won the 1st AIMO Progress Prize

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Announcing New Hugging Face and Keras NLP integration

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ColPali: Efficient Document Retrieval with Vision Language Models πŸ‘€

By manu β€’
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upvoted 2 articles 3 months ago
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Fine-tuning Florence-2 - Microsoft's Cutting-edge Vision Language Models

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Training and Finetuning Embedding Models with Sentence Transformers v3

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upvoted 2 articles 4 months ago
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Wikipedia's Treasure Trove: Advancing Machine Learning with Diverse Data

By frimelle β€’
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Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset

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