Search Results for "text decoder" - Page 2

he is a JavaScript library that provides robust HTML entity encoding and decoding, with full Unicode support. It supports all standardized named character references (e.g., ©, —), handles numeric and hex entities, and deals properly with astral Unicode symbols (i.e., code points outside the BMP). The library is designed so that he.decode(input) will safely convert HTML-entity encoded strings into proper Unicode text, and he.encode(text, options) will encode non-ASCII or special...

bin64ed is a binary base64 encoder/decoder that allows you to encode/decode binary files (such as images, pdfs, etc) to and from base64.

This is the source code for Text Hex Decoder that I released earlier. Enjoy!

Program KC-Encoder serves as easy and intuitive encoder/decoder allowing writing texts in native languages using English keyboard. KC-Encoder runs both at Linux and/or Windows. Currently supported languages are as follows: Bulgarian Czech French German Greek Hungarian Italian Polish Portuguese Russian Serbian Slovakian Spanish Ukrainian

Encoder.jar utility enrypts any file (containing text like .txt, .rtf, .html, .htm, .msg, .xml, etc.) and generates an encoded file. This encoded file may then be transferred via email or other medium from the source machine and can be decoded back to original on the target machine. The target machine should have Decoder.jar in order to reproduce it back to the original form. Decoder.jar decrypts an encoded file and regenerates the original file. Use : java -jar Encoder.jar java -jar...

Tool for encoding tags of mp3 files in the cyrillic charsets (cp1251, koi8-r) to unicode. Solution of problem with displaying tags in thе different charsets in a playlist. If you will find bug, mistake in the this text - mail me on hlamer@tut.by

t5-base is a pre-trained transformer model from Google’s T5 (Text-To-Text Transfer Transformer) family that reframes all NLP tasks into a unified text-to-text format. With 220 million parameters, it can handle a wide range of tasks, including translation, summarization, question answering, and classification. Unlike traditional models like BERT, which output class labels or spans, T5 always generates text outputs. It was trained on the C4 dataset, along with a variety of supervised NLP...

facebook/bart-large-cnn is a large-scale sequence-to-sequence transformer model developed by Meta AI and fine-tuned specifically for abstractive text summarization. It uses the BART architecture, which combines a bidirectional encoder (like BERT) with an autoregressive decoder (like GPT). Pre-trained on corrupted text reconstruction, the model was further trained on the CNN/DailyMail dataset—a collection of news articles paired with human-written summaries. It performs particularly well in generating concise, coherent, and human-readable summaries from longer texts. ...