MLArtist/intent-detection-using-XLM-Roberta
This repository is a comprehensive project that leverages the XLM-Roberta model for intent detection. This repository is a valuable resource for developers looking to build and fine-tune intent detection models based on state-of-the-art techniques.
This project helps developers build and fine-tune models that automatically understand the purpose behind user messages. You provide a dataset of user inputs and their corresponding intents, and it produces a model capable of classifying new user messages into predefined categories. It's designed for developers creating conversational AI for chatbots, virtual assistants, or customer support.
No commits in the last 6 months.
Use this if you are a developer tasked with adding intent recognition capabilities to an application, such as a chatbot or virtual assistant, and need a robust, state-of-the-art solution.
Not ideal if you are looking for a plug-and-play solution without coding, or if you need to perform general text classification beyond intent detection.
Stars
16
Forks
2
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 02, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/MLArtist/intent-detection-using-XLM-Roberta"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
yuanxiaosc/BERT-for-Sequence-Labeling-and-Text-Classification
This is the template code to use BERT for sequence lableing and text classification, in order to...
sz128/slot_filling_and_intent_detection_of_SLU
slot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebookâs...
dborrelli/chat-intents
Clustering sentence embeddings to extract message intent
asappresearch/dialog-intent-induction
Code and data for paper "Dialog Intent Induction with Deep Multi-View Clustering", Hugh Perkins...
hellohaptik/HINT3
This repository contains datasets and code for the paper "HINT3: Raising the bar for Intent...