export_to_onnx.py

from transformers import AutoModelForSequenceClassification, AutoTokenizer
import torch
from transformers.onnx import export
from transformers.onnx.features import FeaturesManager

# Load the model and tokenizer
model_name = "cardiffnlp/twitter-roberta-base-sentiment"
model = AutoModelForSequenceClassification.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)

# Determine the correct export feature
feature = FeaturesManager.get_supported_features_for_model_type("text-classification")

# Define the path where the ONNX model will be saved
onnx_model_path = "https://huggingface.co/spaces/Abineshkumar/demodeploy/sentiment_model.onnx"

# Export the model to ONNX
export(tokenizer, model, feature, onnx_model_path, opset=11, framework="pt")