lingxiyulu/roberta-nlu-demo

By lingxiyulu · ↓ 0 · ♥ 0 · Updated 2025-01-03

What's in this repo

This page lists the files in lingxiyulu/roberta-nlu-demo, including model.onnx.

1 ONNX models (.onnx files)
299 files, including 296 .npy, 1 .md, 1 .onnx
Last updated 2025-01-03

ONNX files

File	Size	Download
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

implement of:https://huggingface.co/uer/roberta-base-wwm-chinese-cluecorpussmall for NLU Test Demo.

Model info

onnx region:us

↓ 0 ♥ 0

Created: 2025-01-03

Updated: 2025-01-03

View on Hugging Face

Files (299)

.gitattributes

README.md

datasets/0/attention_mask.npy

datasets/0/input_ids.npy

datasets/0/token_type_ids.npy

datasets/1/attention_mask.npy

datasets/1/input_ids.npy

datasets/1/token_type_ids.npy

datasets/101/attention_mask.npy

datasets/101/input_ids.npy

datasets/101/token_type_ids.npy

datasets/105/attention_mask.npy

datasets/105/input_ids.npy

datasets/105/token_type_ids.npy

datasets/107/attention_mask.npy

datasets/107/input_ids.npy

datasets/107/token_type_ids.npy

datasets/108/attention_mask.npy

datasets/108/input_ids.npy

datasets/108/token_type_ids.npy

datasets/109/attention_mask.npy

datasets/109/input_ids.npy

datasets/109/token_type_ids.npy

datasets/111/attention_mask.npy

datasets/111/input_ids.npy

datasets/111/token_type_ids.npy

datasets/114/attention_mask.npy

datasets/114/input_ids.npy

datasets/114/token_type_ids.npy

datasets/12/attention_mask.npy

datasets/12/input_ids.npy

datasets/12/token_type_ids.npy

datasets/121/attention_mask.npy

datasets/121/input_ids.npy

datasets/121/token_type_ids.npy

datasets/122/attention_mask.npy

datasets/122/input_ids.npy

datasets/122/token_type_ids.npy

datasets/123/attention_mask.npy

datasets/123/input_ids.npy

datasets/123/token_type_ids.npy

datasets/124/attention_mask.npy

datasets/124/input_ids.npy

datasets/124/token_type_ids.npy

datasets/125/attention_mask.npy

datasets/125/input_ids.npy

datasets/125/token_type_ids.npy

datasets/128/attention_mask.npy

datasets/128/input_ids.npy

datasets/128/token_type_ids.npy

datasets/13/attention_mask.npy

datasets/13/input_ids.npy

datasets/13/token_type_ids.npy

datasets/130/attention_mask.npy

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datasets/130/token_type_ids.npy

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datasets/136/attention_mask.npy

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datasets/142/attention_mask.npy

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datasets/142/token_type_ids.npy

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datasets/149/attention_mask.npy

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datasets/149/token_type_ids.npy

datasets/15/attention_mask.npy

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datasets/15/token_type_ids.npy

datasets/150/attention_mask.npy

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datasets/155/token_type_ids.npy

datasets/159/attention_mask.npy

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datasets/16/attention_mask.npy

datasets/16/input_ids.npy

datasets/16/token_type_ids.npy

datasets/160/attention_mask.npy

datasets/160/input_ids.npy

datasets/160/token_type_ids.npy

datasets/162/attention_mask.npy

datasets/162/input_ids.npy

datasets/162/token_type_ids.npy

datasets/165/attention_mask.npy

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datasets/165/token_type_ids.npy

datasets/168/attention_mask.npy

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datasets/168/token_type_ids.npy

datasets/17/attention_mask.npy

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datasets/17/token_type_ids.npy

datasets/171/attention_mask.npy

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datasets/171/token_type_ids.npy

datasets/174/attention_mask.npy

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datasets/177/attention_mask.npy

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datasets/177/token_type_ids.npy

datasets/179/attention_mask.npy

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datasets/179/token_type_ids.npy

datasets/18/attention_mask.npy

datasets/18/input_ids.npy

datasets/18/token_type_ids.npy

datasets/181/attention_mask.npy

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datasets/181/token_type_ids.npy

datasets/184/attention_mask.npy

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datasets/188/attention_mask.npy

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datasets/19/attention_mask.npy

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datasets/19/token_type_ids.npy

datasets/191/attention_mask.npy

datasets/191/input_ids.npy

datasets/191/token_type_ids.npy

datasets/192/attention_mask.npy

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datasets/195/attention_mask.npy

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datasets/198/attention_mask.npy

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datasets/199/attention_mask.npy

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datasets/20/attention_mask.npy

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datasets/22/attention_mask.npy

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datasets/22/token_type_ids.npy

datasets/23/attention_mask.npy

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datasets/27/attention_mask.npy

datasets/27/input_ids.npy

datasets/27/token_type_ids.npy

datasets/28/attention_mask.npy

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datasets/28/token_type_ids.npy

datasets/30/attention_mask.npy

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datasets/31/attention_mask.npy

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datasets/33/attention_mask.npy

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datasets/33/token_type_ids.npy

datasets/34/attention_mask.npy

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datasets/35/attention_mask.npy

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datasets/35/token_type_ids.npy

datasets/37/attention_mask.npy

datasets/37/input_ids.npy

datasets/37/token_type_ids.npy

datasets/38/attention_mask.npy

datasets/38/input_ids.npy

datasets/38/token_type_ids.npy

datasets/39/attention_mask.npy

datasets/39/input_ids.npy

datasets/39/token_type_ids.npy

datasets/4/attention_mask.npy

datasets/4/input_ids.npy

datasets/4/token_type_ids.npy

datasets/42/attention_mask.npy

datasets/42/input_ids.npy

datasets/42/token_type_ids.npy

datasets/44/attention_mask.npy

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datasets/44/token_type_ids.npy

datasets/45/attention_mask.npy

datasets/45/input_ids.npy

datasets/45/token_type_ids.npy

datasets/46/attention_mask.npy

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datasets/46/token_type_ids.npy

datasets/49/attention_mask.npy

datasets/49/input_ids.npy

datasets/49/token_type_ids.npy

datasets/5/attention_mask.npy

datasets/5/input_ids.npy

datasets/5/token_type_ids.npy

datasets/53/attention_mask.npy

datasets/53/input_ids.npy

datasets/53/token_type_ids.npy

datasets/55/attention_mask.npy

datasets/55/input_ids.npy

datasets/55/token_type_ids.npy

datasets/56/attention_mask.npy

datasets/56/input_ids.npy

datasets/56/token_type_ids.npy

datasets/6/attention_mask.npy

datasets/6/input_ids.npy

datasets/6/token_type_ids.npy

datasets/60/attention_mask.npy

datasets/60/input_ids.npy

datasets/60/token_type_ids.npy

datasets/61/attention_mask.npy

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datasets/61/token_type_ids.npy

datasets/63/attention_mask.npy

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datasets/63/token_type_ids.npy

datasets/64/attention_mask.npy

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datasets/64/token_type_ids.npy

datasets/66/attention_mask.npy

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datasets/66/token_type_ids.npy

datasets/7/attention_mask.npy

datasets/7/input_ids.npy

datasets/7/token_type_ids.npy

datasets/70/attention_mask.npy

datasets/70/input_ids.npy

datasets/70/token_type_ids.npy

datasets/71/attention_mask.npy

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datasets/74/attention_mask.npy

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datasets/76/attention_mask.npy

datasets/76/input_ids.npy

datasets/76/token_type_ids.npy

datasets/78/attention_mask.npy

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datasets/78/token_type_ids.npy

datasets/81/attention_mask.npy

datasets/81/input_ids.npy

datasets/81/token_type_ids.npy

datasets/82/attention_mask.npy

datasets/82/input_ids.npy

datasets/82/token_type_ids.npy

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datasets/83/token_type_ids.npy

datasets/85/attention_mask.npy

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datasets/88/attention_mask.npy

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datasets/88/token_type_ids.npy

datasets/90/attention_mask.npy

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datasets/93/attention_mask.npy

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datasets/94/attention_mask.npy

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datasets/97/attention_mask.npy

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datasets/97/token_type_ids.npy

datasets/99/attention_mask.npy

datasets/99/input_ids.npy

datasets/99/token_type_ids.npy

datasets/attention_mask.npy

datasets/input_ids.npy

model.onnx ONNX

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