Instructions to use TextToKids/CamemBERT-base-EmoTextToKids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TextToKids/CamemBERT-base-EmoTextToKids with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TextToKids/CamemBERT-base-EmoTextToKids")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TextToKids/CamemBERT-base-EmoTextToKids") model = AutoModelForSequenceClassification.from_pretrained("TextToKids/CamemBERT-base-EmoTextToKids") - Notebooks
- Google Colab
- Kaggle
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18. category is surprise
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19. category is sadness
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See the
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## Citation information
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18. category is surprise
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19. category is sadness
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See the [original paper](https://arxiv.org/pdf/2405.14385) for details about training.
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## Dataset
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See [EmoTextToKids-sentences](https://huggingface.co/datasets/TextToKids/EmoTextToKids-sentences)
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## Citation information
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