Thomas Chaigneau's picture

Thomas Chaigneau

chainyo

·

AI & ML interests

I build things using Deep Learning, Machine Learning Engineer @Owkin & 🤗Fellow

Organizations

liked a Space about 1 year ago

The Ultra-Scale Playbook

The ultimate guide to training LLM on large GPU Clusters

liked 2 models over 1 year ago

apple/DepthPro

Depth Estimation • Updated Feb 28, 2025 • 2.67k • 508

hexgrad/Kokoro-82M

Text-to-Speech • Updated Apr 10, 2025 • 9.7M • • 6.03k

liked a Space over 1 year ago

Bark

Generate realistic audio from text

liked 3 models over 1 year ago

black-forest-labs/FLUX.1-dev

Text-to-Image • Updated Jun 27, 2025 • 681k • • 12.7k

abhinand/MedEmbed-base-v0.1

0.1B • Updated Oct 21, 2024 • 503k • 18

sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2

Sentence Similarity • 0.1B • Updated Jan 28 • 35.1M • • 1.2k

liked a dataset over 1 year ago

argilla/FinePersonas-v0.1

Viewer • Updated Dec 11, 2024 • 42.1M • 8.84k • 409

liked 2 models over 1 year ago

meta-llama/Meta-Llama-3-8B

Text Generation • 8B • Updated Sep 27, 2024 • 3.35M • • 6.52k

mistral-community/pixtral-12b-240910

Image-Text-to-Text • Updated Oct 1, 2024 • 6.5k • 381

liked a Space over 1 year ago

MTEB Leaderboard

Embedding Leaderboard

liked a dataset almost 2 years ago

ncbi/pubmed

Updated Jan 26, 2024 • 863 • 162

liked a model about 2 years ago

meta-llama/Meta-Llama-3-70B

Text Generation • 71B • Updated Sep 27, 2024 • 142k • • 874

liked 2 models over 2 years ago

jinaai/jina-embeddings-v2-base-en

Feature Extraction • 0.1B • Updated Jan 6, 2025 • 139k • 732

mistralai/Mistral-7B-v0.1

Text Generation • 7B • Updated Jul 24, 2025 • 933k • 4.08k

liked 3 Spaces over 2 years ago

Matcha TTS

Generate speech from text with speaker selection

Open ASR Leaderboard

Explore and compare speech-to-text model benchmarks

Model Memory Utility

Calculate VRAM needed to train and run Hugging Face models

liked a dataset over 2 years ago

google/fleurs

Updated Aug 25, 2024 • 46.3k • 392

liked a Space over 2 years ago

Federated Learning with Substra