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Visual Question Answering

pix2struct-docvqa-base

Model card for Pix2Struct - Finetuned on Doc-VQA (Visual Question Answering over scanned documents) Table of Contents TL;DR Using the model Contribution Citation TL;DR Pix2Struct is an image encoder - text decoder model that is trained on image-text pairs for various tasks, including image captionning and visual question answering.…
March 6, 20240Likes0Comments
Image Classification

Ethnicity_Test_v003

Edit model card Model Trained Using AutoTrain Validation Metrics Model Trained Using AutoTrain Problem type: Multi-class Classification Model ID: 47959117029 CO2 Emissions (in grams): 6.0228 Validation Metrics Loss: 0.530 Accuracy: 0.796 Macro F1: 0.797 Micro F1: 0.796 Weighted F1: 0.796 Macro Precision: 0.797 Micro Precision: 0.796 Weighted Precision: 0.796 Macro Recall:…
March 6, 20240Likes0Comments
Reinforcement Learning

ppo-SpaceInvadersNoFrameskip-v4

Edit model card ThomasSimonini/ppo-SpaceInvadersNoFrameskip-v4 Usage (with Stable-baselines3) Evaluation Results ThomasSimonini/ppo-SpaceInvadersNoFrameskip-v4 This is a pre-trained model of a PPO agent playing SpaceInvadersNoFrameskip using the stable-baselines3 library. It is taken from RL-trained-agents Usage (with Stable-baselines3) Using this model becomes easy when you have stable-baselines3 and huggingface_sb3 installed: pip install stable-baselines3 pip install huggingface_sb3 Then, you…
March 6, 20240Likes0Comments
Text-to-Speech

mms-tts-tur

Edit model card Massively Multilingual Speech (MMS): Turkish Text-to-Speech Model Details Usage BibTex citation License Massively Multilingual Speech (MMS): Turkish Text-to-Speech This repository contains the Turkish (tur) language text-to-speech (TTS) model checkpoint. This model is part of Facebook's Massively Multilingual Speech project, aiming to provide speech technology across a diverse range of languages. You…
March 6, 20240Likes0Comments