How to use LXDaugh/chinese-6-emotion-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LXDaugh/chinese-6-emotion-model")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LXDaugh/chinese-6-emotion-model") model = AutoModelForSequenceClassification.from_pretrained("LXDaugh/chinese-6-emotion-model")
This model performs Chinese multi-label emotion classification with six emotion categories:
The shared hybrid parameters are stored in top_level_summary.json.
top_level_summary.json
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