raghavdw
/

cci-capstone

Text Classification

Inference Endpoints

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Airline Customer Service Intelligence Model

Last Updated: 2025-01-07 22:14:37 Using Checkpoint: checkpoint-1170

Model Configuration

Base: RoBERTa
Multi-task Classification (Intent, Sentiment, Topic)
Checkpoint: checkpoint-1170

Usage

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("raghavdw/cci-capstone")
tokenizer = AutoTokenizer.from_pretrained("raghavdw/cci-capstone")

text = "I need help with my flight booking"
inputs = tokenizer(text, return_tensors="pt")
outputs = model(**inputs)

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Safetensors

Model size

125M params

Tensor type

F32

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Text Classification

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