Google-Palm powered web aplication allowing you to query your own PDF file. Uses streamlit for UI, ChromaDB to store embeddings and langchain.
-
Updated
Jul 15, 2024 - Jupyter Notebook
Google-Palm powered web aplication allowing you to query your own PDF file. Uses streamlit for UI, ChromaDB to store embeddings and langchain.
Summarize, , NSP answer questions in dockerised environment
Successfully established a Seq2Seq with attention model which can perform English to Spanish language translation up to an accuracy of almost 97%.
Source codes and materials of Advanced Spelling Error Correction project.
Deployed an interactive web platform for exploring and utilizing language models. Features include real-time text analysis and translation, built with Django for robust performance and scalability
A FastAPI-powered REST API offering a comprehensive suite of natural language processing services using machine learning models with PyTorch and Transformers, packaged in a Docker container to run efficiently.
With the use of AI, summarise your movies and bring back the colour in older films.
This repo is a collection of various ai models that can be used to understand an learn a bit more about AI
Successfully developed a fine-tuned BERT transformer model which can accurately classify symptoms to their corresponding diseases upto an accuracy of 89%.
Successfully developed a fine-tuned DistilBERT transformer model which can accurately predict the overall sentiment of a piece of financial news up to an accuracy of nearly 81.5%.
With the use of AI, summarise your movies and bring back the colour in older films.
A real-time voice-to-text and text-to-speech AI pipeline using Whisper, an LLM, and Edge-TTS with tunable parameters for low-latency audio processing and response generation.
Spam Detector is a Data Science Project built using Pytorch and Hugging Face library. Used BERT model based on Transformer Architecture and got 99.97% accuracy on train set and 98.76% accuracy on test set.
llm-newsletter-generator transforms a valid RSS feed into a "Newsletter" using AI models via PyTorch and Transformers; this is experimental.
A Python-based REST API for PDF OCR using AI models with PyTorch and Transformers that runs in a Docker container.
"Open Source Models with Hugging Face" course empowers you with the skills to leverage open-source models from the Hugging Face Hub for various tasks in NLP, audio, image, and multimodal domains.
Add a description, image, and links to the hugging-face-transformers topic page so that developers can more easily learn about it.
To associate your repository with the hugging-face-transformers topic, visit your repo's landing page and select "manage topics."