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 • 2.21k • 509

hexgrad/Kokoro-82M

Text-to-Speech • Updated Apr 10, 2025 • 9.51M • • 6.1k

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 • 743k • • 12.8k

abhinand/MedEmbed-base-v0.1

0.1B • Updated Oct 21, 2024 • 387k • 18

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

Sentence Similarity • 0.1B • Updated Jan 28 • 45.4M • • 1.22k

liked a dataset over 1 year ago

argilla/FinePersonas-v0.1

Viewer • Updated Dec 11, 2024 • 42.1M • 9.47k • 409

liked 2 models over 1 year ago

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

Text Generation • 8B • Updated Sep 27, 2024 • 3.36M • • 6.53k

mistral-community/pixtral-12b-240910

Image-Text-to-Text • Updated Oct 1, 2024 • 6.87k • 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 • 1.17k • 162

liked a model about 2 years ago

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

Text Generation • 71B • Updated Sep 27, 2024 • 117k • • 874

liked 2 models over 2 years ago

jinaai/jina-embeddings-v2-base-en

Feature Extraction • 0.1B • Updated Jan 6, 2025 • 113k • 732

mistralai/Mistral-7B-v0.1

Text Generation • 7B • Updated Jul 24, 2025 • 1.04M • 4.08k

liked 3 Spaces over 2 years ago

Matcha TTS

Generate speech from text with speaker selection

Open ASR Leaderboard

Explore speech recognition 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 • 54.4k • 398

liked a Space almost 3 years ago

Federated Learning with Substra