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:
- f143d8776fd05eea9c40db7abbf2936ca543c96e8f5a7a530c19deb1f9293d82
- Size of remote file:
- 2.42 kB
- SHA256:
- 4ed7a68d54395ab0be21726d6fcf25f942ed459b16387bbf9cf251051986766f
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