Fast, easy and cost-efficient multi-LLM serving.
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Updated
Jul 20, 2024 - Python
Fast, easy and cost-efficient multi-LLM serving.
This repo is my all HuggingFace Testing and Exploaring
A Java NLP application that identifies names, organizations, and locations in text by utilizing Hugging Face's RoBERTa NER model through the ONNX runtime and the Deep Java Library.
Artificial Intelligence (AI) and Machine Learning (ML) ....;)
Script to auto-generate sources used in nimiq.com
Label, clean and enrich text datasets with LLMs.
🤖✨ Dialog-first platform for developing interactive AI-Powered assistant-like applications on Linux
AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
A collection of Jupyter notebook experiments and applications centered around Generative AI with LLMs.
The Blog Generation project uses advanced AI technologies like Llama 2, LangChain, and Hugging Face to create custom blog content. With Streamlit, users can input a topic, word count, and audience type to generate blogs quickly and efficiently. The project combines the power of LLms with a simple, interactive interface for easy content creation.
Data processing with ML and LLM
A friendly CLI tool for converting and uploading transformers for CTranslate2.
Probabilistic programming with HuggingFace language models
detecting age of a person from an image using huggingface transformers
An offline CPU-first memory-scarce chat application to perform RAG on your corpus of data. Powered by OpenChat and CTranslate2.
"Interact with your documents using the power of GPT, 100% privately, no data leaks" - This is a customized Windows RAG client based on Zylon's open source privateGPT.
TextSnap: Demo for Florence 2 model used in OCR tasks to extract and visualize text from images.
PicQ: Demo for MiniCPM Llama3 to answer questions about images using natural language.
中文nlp解决方案(大模型、数据、模型、训练、推理)
this is a repository for question and answer generation (QAG). here we train answer extraction (AE) and question generation (QG) models. models with soon be publicly available at pbe.achybl.com
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