ClassyText is a demo for zero-shot text classification using ModernBERT-large from Hugging Face.
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Updated
Mar 2, 2025 - Python
ClassyText is a demo for zero-shot text classification using ModernBERT-large from Hugging Face.
zeroshot-engine: Zero-Shot Text Classification with LLMs in Python
A Python/Flask API that serves three Hugging Face AI models: Sentiment Analysis, Zero-Shot Classification, and Named Entity Recognition (NER). Option 2 (Longer & More Descriptive) A multi-task AI microservice built with Python and Flask. Serves pre-traine
Test repo for Zero Shot Classification testing and experiments
LocalAutomatedTranscriptionAndContentAnalysis: On device Automatic Speech Recognition & Diarization using fine tuned Whisper small.en as well as Semantic Content Analysis using BART large
Named Entity Recognition + Sentiment & Intent Classification using Pretrained Language Models for converting Physician Conversations to Medical Notes.
This repo contains the notebooks of my personal practice while doing the VLM bootcamp, offered by OpenCV University
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Classification techniques and analysis using hugging face and google colab
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Zero-shot customer support chatbot using HuggingFace Transformers and FastAPI. Classifies queries into intents (order status, refunds, product info, smalltalk) and routes them to modular handlers.
Real-world NPS dashboard for the journalism industry, merging data analysis and AI-driven text classification.
🤖 Build an efficient customer support chatbot with zero-shot intent classification and modular skill handlers using FastAPI and Java.
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