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Anime AI Art Detect
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Training
Use Case
Anime AI Art Detect
A BEiT classifier to see if anime art was made by an AI or a human.
Disclaimer
Like most AI models, this classifier is not 100% accurate. Please do not take the results of this model…
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PPO Agent playing PongNoFrameskip-v4
Evaluation Results
Usage (with Stable-baselines3)
Training Code
PPO Agent playing PongNoFrameskip-v4
This is a trained model of a PPO agent playing PongNoFrameskip-v4 using the stable-baselines3 library (our agent is the 🟢 one).
The training report: https://wandb.ai/simoninithomas/HFxSB3/reports/Atari-HFxSB3-Benchmark--VmlldzoxNjI3NTIy
Evaluation Results
Mean_reward: 21.00 +/- 0.0
Usage…
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speecht5_finetuned_fleurs_zh
Model description
Intended uses & limitations
Training and evaluation data
Training procedure
Training hyperparameters
Training results
Framework versions
speecht5_finetuned_fleurs_zh
This model is a fine-tuned version of microsoft/speecht5_tts on the fleurs dataset.
It achieves the following results on the evaluation set:
Loss: 0.4343
Model description
More information needed
…
Take your Insta’s engagement to new levels by learning how to make a poll on Instagram with the best Instagram polls ideas!
Besides, one of the most effective ways to improve engagement and grow your Instagram accounts is to ask questions!
Whether you are simply working on a brand awareness campaign or trying to convert…
Until now what was predicted approximately, is now being done with 'accuracy' by one AI death calculator. Yes, this new AI calculator can predict death! This calculator can predict the death of an individual with more than 75% accuracy. "A newly developed AI death calculator can now forecast when a person will die with eerily…
About noon on Nov. 17, Sam Altman, CEO of OpenAI, logged into a video call from a luxury hotel in Las Vegas. He was in the city for its inaugural Formula One race, which had drawn 315,000 visitors including Rihanna and Kylie Minogue.
Altman, who had parlayed the success of OpenAI’s ChatGPT chatbot into…
mdhugol/indonesia-bert-sentiment-classification
Text Classification
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Updated
Sep 14, 2021
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45.3k
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17
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layoutlmv2-base-uncased_finetuned_docvqa
This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
Loss: 4.8430
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training…
