awacke1/wav2vec2-base-timit-demo-colab

## Model Description This is a lightweight, high-performance image classification model built to diagnose histopathological scans of lung and colon tissues. This model was specifically designed for rapid web deployment without sacrificing clinical accuracy.

Covering 12 Major Languages including English, Chinese, French, Hindi, Spanish, Arabic, Russian, Japanese, Korean, German, Italian, Portuguese and 38 Minor Languages So far.

A frontier protein-language generative model — because proteins deserve better small talk.

Trama v1 ModelCard ---

Paper: Arxiv     |     Website: Biomedica     |     Training instructions: OpenCLIP     |     Tutorial: Google Colab

Covering 12 Major Languages including English, Chinese, French, Hindi, Spanish, Arabic, Russian, Japanese, Korean, German, Italian, Portuguese and 38 Minor Languages So far.