Instructions to use acidtib/reddit-mood-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use acidtib/reddit-mood-classifier with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'acidtib/reddit-mood-classifier');
upload trained mood classifier
Browse files- config.json +6 -8
- onnx/model.onnx +3 -0
- onnx/model_quantized.onnx +3 -0
config.json
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "
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"1": "
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"2": "
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"3": "STOKED"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"
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"
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"
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"STOKED": 3
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "negative",
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"1": "neutral",
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"2": "positive"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"negative": 0,
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"neutral": 1,
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"positive": 2
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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onnx/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:2a5aca967e9d1fe50e17e541f73bf81aabe7240d7fd900aeaf42ec9d5e1da136
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size 498911192
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onnx/model_quantized.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:957cafcdbe2845c2ab1d8a08c29fc2761359d8cc05548d8611f478eea732d5e1
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size 125600439
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