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Chi-Bi/emotion-text-classifier-onnx

By Chi-Bi · ↓ 2 · ♥ 0 · Updated 2025-11-28

What's in this repo

This page lists the files in Chi-Bi/emotion-text-classifier-onnx, including model.onnx, model_quantized.onnx.

  • 2 ONNX models (.onnx files)
  • 10 files, including 5 .json, 2 .onnx, 1 .md, 1 .txt
  • Last updated 2025-11-28

ONNX files

File Size Download
onnx/model.onnx — Download
onnx/model_quantized.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


language: en tags:

  • distilroberta
  • sentiment
  • emotion
  • twitter
  • reddit widget:
  • text: Oh my God, he's lost it. He's totally lost it.
  • text: What?
  • text: Wow, congratulations! So excited for you! library_name: transformers.js

Transformers.js conversion of michellejieli/emotion_text_classifier

Fine-tuned DistilRoBERTa-base for Emotion Classification 🤬🤢😀😐😭😲

Model Description

DistilRoBERTa-base is a transformer model that performs sentiment analysis. I fine-tuned the model on transcripts from the Friends show with the goal of classifying emotions from text data, specifically dialogue from Netflix shows or movies. The model predicts 6 Ekman emotions and a neutral class. These emotions include anger, disgust, fear, joy, neutrality, sadness, and surprise.

The model is a fine-tuned version of Emotion English DistilRoBERTa-base and DistilRoBERTa-base. This model was initially trained on the following table from Emotion English DistilRoBERTa-base:

Name anger disgust fear joy neutral sadness surprise
Crowdflower (2016) Yes - - Yes Yes Yes Yes
Emotion Dataset, Elvis et al. (2018) Yes - Yes Yes - Yes Yes
GoEmotions, Demszky et al. (2020) Yes Yes Yes Yes Yes Yes Yes
ISEAR, Vikash (2018) Yes Yes Yes Yes - Yes -
MELD, Poria et al. (2019) Yes Yes Yes Yes Yes Yes Yes
SemEval-2018, EI-reg, Mohammad et al. (2018) Yes - Yes Yes - Yes -

It was fine-tuned on:

Name anger disgust fear joy neutral sadness surprise
Emotion Lines (Friends) Yes Yes Yes Yes Yes Yes Yes

How to Use

const { pipeline } = await import('@xenova/transformers');

// Allocate pipeline
const pipe = await pipeline('text-classification', 'MicahB/emotion_text_classifier');
console.log(await pipe("womp womp"));
Output:
[{'label': 'joy', 'score': 0.9887555241584778}]

Contact

Please reach out to micahbushman.school@gmail.com if you have any questions or feedback.

Reference

Jochen Hartmann, "Emotion English DistilRoBERTa-base". https://huggingface.co/j-hartmann/emotion-english-distilroberta-base/, 2022.
Ashritha R Murthy and K M Anil Kumar 2021 IOP Conf. Ser.: Mater. Sci. Eng. 1110 012009

Model info

text-classification transformers.js
transformers.js onnx roberta text-classification distilroberta sentiment emotion twitter reddit en region:us
↓ 2 ♥ 0

Created: 2025-11-28

Updated: 2025-11-28

View on Hugging Face

Files (10)

.gitattributes
README.md
config.json
merges.txt
onnx/model.onnx ONNX
onnx/model_quantized.onnx ONNX
special_tokens_map.json
tokenizer.json
tokenizer_config.json
vocab.json

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