Find recent high-liked Hugging Face models
Download a TriplaneGaussian model checkpoint
Convert Hugging Face model repo to Safetensors
Persian Text Embedding Benchmark
Text-To-Speech (TTS) Evaluation using objective metrics.
Explore and submit models using the LLM Leaderboard
Benchmark AI models by comparison
Evaluate LLM over-refusal rates with OR-Bench
Predict customer churn based on input details
Display LLM benchmark leaderboard and info
Launch web-based model application
Explore and benchmark visual document retrieval models
Evaluate model predictions with TruLens
Model Drops Tracker is a tool designed to help users track and discover recent high-liked Hugging Face models. It simplifies the process of staying updated with the latest models in the machine learning community, focusing on models that have gained significant popularity or traction.
What models are included in Model Drops Tracker?
Model Drops Tracker focuses on models from the Hugging Face Model Hub, particularly those that have received high likes or engagement within the community.
How often is the model list updated?
The list is updated in real-time to reflect the latest models and their popularity rankings.
Can I use Model Drops Tracker for commercial purposes?
Yes, Model Drops Tracker is designed to be used by researchers, developers, and businesses alike, with a focus on open-source accessibility.