Text Classification
Transformers
PyTorch
TensorFlow
English
roberta
distilroberta
sentiment
emotion
twitter
reddit
text-embeddings-inference
Instructions to use j-hartmann/emotion-english-distilroberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use j-hartmann/emotion-english-distilroberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="j-hartmann/emotion-english-distilroberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("j-hartmann/emotion-english-distilroberta-base") model = AutoModelForSequenceClassification.from_pretrained("j-hartmann/emotion-english-distilroberta-base") - Inference
- Notebooks
- Google Colab
- Kaggle
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# Contact 💻
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Please reach out to [jochen.hartmann@tum.de](jochen.hartmann@tum.de) if you have any questions or feedback.
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Thanks to Samuel Domdey and [chrsiebert](https://huggingface.co/siebert) for their support in making this model available.
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# Contact 💻
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Please reach out to [jochen.hartmann@tum.de](mailto:jochen.hartmann@tum.de) if you have any questions or feedback.
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Thanks to Samuel Domdey and [chrsiebert](https://huggingface.co/siebert) for their support in making this model available.
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