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language-model x

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Transformers ⭐ 127,491

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

Treasure Of Transformers ⭐ 541

💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP spec

Transfer Nlp ⭐ 281

NLP library designed for reproducible experimentation management

A library to synthesize text datasets using Large Language Models (LLM)

package lingo provides the data structures and algorithms required for natural language processing

Tf Transformers ⭐ 76

State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).

Reliability Checklist ⭐ 10

NLP tool for wide-range model reliability evaluations

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Python Language Model (540)

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