Text Classification
Transformers
Safetensors
English
roberta
goemotions
emotion-classification
multi-label-classification
roberta-large
focal-loss
threshold-optimization
nlp
Eval Results (legacy)
text-embeddings-inference
Instructions to use AliceYin/goemotions-roberta-large-focal-sota with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AliceYin/goemotions-roberta-large-focal-sota with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AliceYin/goemotions-roberta-large-focal-sota")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AliceYin/goemotions-roberta-large-focal-sota") model = AutoModelForSequenceClassification.from_pretrained("AliceYin/goemotions-roberta-large-focal-sota") - Notebooks
- Google Colab
- Kaggle
Update public notebook link
Browse files
README.md
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## Links
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- Kaggle model artifact: https://www.kaggle.com/models/kevin250304/goemotions-roberta-large-focal-sota/Transformers/roberta-large-focal-seed42
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- Kaggle inference notebook: https://www.kaggle.com/code/
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- Training source: `emotion-model/train_goemotions.py` in the release repository
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- Dataset: https://huggingface.co/datasets/google-research-datasets/go_emotions
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- GoEmotions paper: https://aclanthology.org/2020.acl-main.372/
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## Links
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- Kaggle model artifact: https://www.kaggle.com/models/kevin250304/goemotions-roberta-large-focal-sota/Transformers/roberta-large-focal-seed42
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- Kaggle inference notebook: https://www.kaggle.com/code/likevin2005/goemotions-roberta-large-focal-inference
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- Training source: `emotion-model/train_goemotions.py` in the release repository
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- Dataset: https://huggingface.co/datasets/google-research-datasets/go_emotions
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- GoEmotions paper: https://aclanthology.org/2020.acl-main.372/
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