Instructions to use MonoHime/iemocap-emo-intermodal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MonoHime/iemocap-emo-intermodal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MonoHime/iemocap-emo-intermodal")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("MonoHime/iemocap-emo-intermodal") model = AutoModel.from_pretrained("MonoHime/iemocap-emo-intermodal") - Notebooks
- Google Colab
- Kaggle
Update config
Browse files- config.json +0 -1
config.json
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"pooler_type": "first_token_transform",
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"type_vocab_size": 2,
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"vocab_size": 119547,
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"num_labels": 4,
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"labels": ["sadness", "neutral", "frustration", "happiness", "excitement", "anger"]
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}
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"pooler_type": "first_token_transform",
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"type_vocab_size": 2,
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"vocab_size": 119547,
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"labels": ["sadness", "neutral", "frustration", "happiness", "excitement", "anger"]
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}
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