Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Here is a web demonstration of the GPT-2 output detection model, which utilizes the RoBERTa implementation from 🤗/Transformers. Simply input your text into the provided box, and the predicted probabilities will appear underneath. It's important to note that the results become more dependable once the input reaches approximately 50 tokens. As you experiment with different inputs, you can gauge the model's performance and reliability over various text lengths.
Description
RoBERTa enhances the language masking approach established by BERT, where the model is designed to predict segments of text that have been deliberately concealed within unannotated language samples. Developed using PyTorch, RoBERTa makes significant adjustments to BERT's key hyperparameters, such as eliminating the next-sentence prediction task and utilizing larger mini-batches along with elevated learning rates. These modifications enable RoBERTa to excel in the masked language modeling task more effectively than BERT, resulting in superior performance in various downstream applications. Furthermore, we examine the benefits of training RoBERTa on a substantially larger dataset over an extended duration compared to BERT, incorporating both existing unannotated NLP datasets and CC-News, a new collection sourced from publicly available news articles. This comprehensive approach allows for a more robust and nuanced understanding of language.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS Marketplace
No
ChatGPT
Yes
GPT-3
Yes
GPT-4
Yes
Haystack
No
OpenAI
Yes
Spark NLP
No
Integrations
AWS Marketplace
Yes
ChatGPT
No
GPT-3
No
GPT-4
No
Haystack
Yes
OpenAI
No
Spark NLP
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Hugging Face
Founded
2016
Country
United States
Website
huggingface.co
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
ai.facebook.com/blog/roberta-an-optimized-method-for-pretraining-self-supervised-nlp-systems/