voxreality/t5_nlu_intent_recognition_onnx

By voxreality · ↓ 0 · ♥ 0 · Updated 2025-04-29

What's in this repo

This page lists the files in voxreality/t5_nlu_intent_recognition_onnx, including decoder_model.onnx, decoder_model_merged.onnx, decoder_with_past_model.onnx and more.

4 ONNX models (.onnx files)
12 files, including 5 .json, 4 .onnx, 1 .md, 1 .model
Last updated 2025-04-29

ONNX files

File	Size	Download
decoder_model.onnx	—	Download
decoder_model_merged.onnx	—	Download
decoder_with_past_model.onnx	—	Download
encoder_model.onnx	—	Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

ONNX format of voxreality/t5_nlu_intent_recognition model

Model inference example:

from transformers import AutoTokenizer
from optimum.onnxruntime import ORTModelForSeq2SeqLM

model_path = "voxreality/t5_nlu_intent_recognition_onnx"
model = ORTModelForSeq2SeqLM.from_pretrained(model_path)
tokenizer = AutoTokenizer.from_pretrained(model_path)
input_text = "Where is the conference room?"

input_tokenized = tokenizer.encode(input_text, return_tensors='pt')
output = model.generate(input_tokenized, max_new_tokens=100).tolist()
nlu_output_str = tokenizer.decode(output[0], skip_special_tokens=True)

print(nlu_output_str)

Model info

onnx t5 license:apache-2.0 region:us

↓ 0 ♥ 0

Created: 2025-04-24

Updated: 2025-04-29

View on Hugging Face

Files (12)

.gitattributes

README.md

config.json

decoder_model.onnx ONNX

decoder_model_merged.onnx ONNX

decoder_with_past_model.onnx ONNX

encoder_model.onnx ONNX

generation_config.json

special_tokens_map.json

spiece.model

tokenizer.json

tokenizer_config.json

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