Encode and decode Hindi text using BPE
Embedding Leaderboard
Aligns the tokens of two sentences
Predict NCM codes from product descriptions
Search for philosophical answers by author
Compare AI models by voting on responses
Semantically Search Analytics Vidhya free Courses
Generate answers by querying text in uploaded documents
Upload a table to predict basalt source lithology, temperature, and pressure
Electrical Device Feedback Sentiment Classifier
Detect harms and risks with Granite Guardian 3.1 8B
Analyze similarity of patent claims and responses
Analyze text using tuned lens and visualize predictions
HindiBPE Tokenizer App is a specialized tool designed for encoding and decoding Hindi text using the Byte Pair Encoding (BPE) technique. It is primarily used for text analysis and natural language processing (NLP) tasks, enabling users to tokenize Hindi text efficiently. The app is suitable for researchers, developers, and anyone working with Hindi language datasets.
• BPE Tokenization: Utilizes the BPE algorithm to split Hindi text into subwords or tokens. • Efficient Encoding/Decoding: Capable of processing Hindi text into tokens and reconstructing the original text from tokens. • User-Friendly Interface: Provides an intuitive interface for easy input and output handling. • Error Handling: Robust mechanisms to handle invalid inputs or unexpected formats. • Cross-Platform Compatibility: Works seamlessly across different operating systems. • Customizable Settings: Allows users to tweak tokenization parameters for specific use cases.
What is BPE Tokenization?
BPE (Byte Pair Encoding) is a tokenization method that splits text into subwords based on frequency, ensuring efficient use of vocabulary size while handling rare words effectively.
Can I process large texts with this app?
Yes, the app is designed to handle large texts, but there may be file size limits depending on the system configuration.
Is the app free to use?
The app is currently available for free, but certain advanced features may require a license or subscription.