Text Classification
Transformers
PyTorch
TensorFlow
English
roberta
distilroberta
sentiment
emotion
twitter
reddit
text-embeddings-inference
Instructions to use mrhacker7599/emotion-english-distilroberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrhacker7599/emotion-english-distilroberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrhacker7599/emotion-english-distilroberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrhacker7599/emotion-english-distilroberta-base") model = AutoModelForSequenceClassification.from_pretrained("mrhacker7599/emotion-english-distilroberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56afa3c3384a46ac061639477fd9997d4062a566fdd5f8f30a9cb31caefe2ebf
- Size of remote file:
- 329 MB
- SHA256:
- c063ba3427b92183bb04bbff65f89e06838058606ae9fed8095594cd740af0ae
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