what is hugging face ai detector

Hugging Face – The AI community building the future.

Hugging Face – The AI community building the future.

The platform where the machine learning community collaborates on models, datasets, and applications.

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roberta-large-openai-detector · Hugging Face

roberta-large-openai-detector · Hugging Face

Model Description: RoBERTa large OpenAI Detector is the GPT-2 output detector model, obtained by fine-tuning a RoBERTa large model with the outputs of the 1.5B-parameter GPT-2 model. The model can be used to predict if text was generated by a GPT-2 model. This model was released by OpenAI at the same time as OpenAI released the weights of the largest GPT-2 model, the 1.5B parameter version.

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HuggingFace AI Content Detection Review – Originality.AI

HuggingFace AI Content Detection Review – Originality.AI

Hugging Face is a leading provider of artificial intelligence (AI) tools and services for natural language processing (NLP) and machine learning (ML). One of the key areas in which Hugging Face excels is in AI content detection.

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How To Use Hugging Face AI Detector – Open AI Master

How To Use Hugging Face AI Detector - Open AI Master

Artificial intelligence (AI) has become increasingly prevalent in today’s digital landscape. With the rise of AI-generated content, it has become crucial to have tools that can identify and differentiate between human-written and AI-generated text. One such tool is the Hugging Face AI Detector. In this article, we will explore how to use the Hugging Face AI Detector effectively and discuss its various use cases.

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HuggingChat AI Detector Test – 10 Prompts Vs 4 AI Detectors …

HuggingChat AI Detector Test – 10 Prompts Vs 4 AI Detectors ...

HuggingFace has launched a ChatGPT “clone” called HuggingChat based on Open Assistant a 30-billion-parameter LLaMa model. In this article, we do a quick study to see if any of the existing AI detectors on the market are capable of detecting Hugging Chat content.

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Add metrics to object detection example – Hugging Face Forums

Add metrics to object detection example - Hugging Face Forums

Hello everybody, Hello everybody, im new with huggingface and wanted to try out the object detection. So i ran the transformers object detection example from the huggingface docs (this one here: Object detection) and wanted to add some metrics while training the model. Everytime i get the following error: TypeError: Can’t pad the values of type , only of nested list/tuple/dicts of tensors. I create a eval_dataset like this: cppe5[“test”] = cppe5[“test…

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