Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
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Updated
Jun 11, 2024 - Python
Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
Train transformer-based models.
Simple and Lightweight Text Classifiers with LLM Embeddings
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
This repository contains demos I made with the Transformers library by HuggingFace.
🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
End-to-End BERT-Based Coreference System
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Neural Network Compression Framework for enhanced OpenVINO™ inference
State of the Art Natural Language Processing
The library integrates voice-based offensive content detection in iOS apps, utilizing Apple's Speech framework and a machine learning model created with Create ML. It accurately identifies offensive language and hate speech, supporting both SwiftUI and UIKit for content moderation.
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Automated discovery and classification of websites content through unsupervised learning approach
Text-based modeling of materials.
Generalist and Lightweight Model for Relation Extraction (Extract any relationship types from text)
Toolkit for a learning health system
Transformers 3rd Edition
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