Skip to content Skip to sidebar Skip to footer
Text Classification

bert-base-multilingual-uncased-sentiment

bert-base-multilingual-uncased-sentiment This is a bert-base-multilingual-uncased model finetuned for sentiment analysis on product reviews in six languages: English, Dutch, German, French, Spanish, and Italian. It predicts the sentiment of the review as a number of stars (between 1 and 5). This model is intended for direct use as a sentiment analysis model for product reviews…
March 6, 20240Likes0Comments
Visual Question Answering

pix2struct-chartqa-base

Model card for Pix2Struct - Finetuned on ChartQA (Visual Question Answering over charts) 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. The…
March 6, 20240Likes0Comments
Depth Estimation

glpn-nyu-finetuned-diode-230530-204740

glpn-nyu-finetuned-diode-230530-204740 This model is a fine-tuned version of vinvino02/glpn-nyu on the diode-subset dataset. It achieves the following results on the evaluation set: Loss: 1.5139 Mae: 3.0509 Rmse: 3.4756 Abs Rel: 5.7613 Log Mae: 0.6836 Log Rmse: 0.8048 Delta1: 0.3028 Delta2: 0.3079 Delta3: 0.3096 Model description More information needed Intended uses & limitations …
March 6, 20240Likes0Comments
Image Classification

convnextv2-huge-22k-512

Edit model card ConvNeXt V2 (huge-sized model) Model description Intended uses & limitations How to use BibTeX entry and citation info ConvNeXt V2 (huge-sized model) ConvNeXt V2 model pretrained using the FCMAE framework and fine-tuned on the ImageNet-22K dataset at resolution 512x512. It was introduced in the paper ConvNeXt V2: Co-designing and Scaling…
March 6, 20240Likes0Comments
Reinforcement Learning

ppo-SeaquestNoFrameskip-v4

Edit model card PPO Agent playing SeaquestNoFrameskip-v4 Evaluation Results Usage (with Stable-baselines3) Training Code PPO Agent playing SeaquestNoFrameskip-v4 This is a trained model of a PPO agent playing SeaquestNoFrameskip-v4 using the stable-baselines3 library. The training report: https://wandb.ai/simoninithomas/HFxSB3/reports/Atari-HFxSB3-Benchmark--VmlldzoxNjI3NTIy Evaluation Results Mean_reward: 1820.00 +/- 20.0 Usage (with Stable-baselines3) You need to…
March 6, 20240Likes0Comments
Text-to-Speech

mms-tts-tha

Edit model card Massively Multilingual Speech (MMS): Thai Text-to-Speech Model Details Usage BibTex citation License Massively Multilingual Speech (MMS): Thai Text-to-Speech This repository contains the Thai (tha) 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