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tyaisndu/
mbert_intent_model_v3

Name: mbert_intent_model_v3
Availability: InStock

intent-classification

nlp

text-embeddings-inference

endpoints_compatible

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mBERT Intent Classification Model (v3)

This model is a fine-tuned version of Multilingual BERT (mBERT) for intent classification tasks.
It predicts the intent of a given user input sentence, making it suitable for chatbot, virtual assistant, and NLP applications.

🚀 Model Details

Model Type: Text Classification
Base Model: bert-base-multilingual-cased
Framework: Hugging Face Transformers
Task: Intent Classification
Version: v3

🎯 Use Cases

Chatbots / Virtual Assistants
Customer support automation
Banking / fintech intent detection
Query classification systems

🧠 Labels

⚠️ Update this section based on your actual labels

Example:

ID	Label
0	greeting
1	check_balance
2	transfer_money
3	goodbye

🛠️ How to Use

Load Model & Tokenizer

python

from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch

model_id = "tyaisndu/mbert_intent_model_v3"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForSequenceClassification.from_pretrained(model_id)