Instructions to use cardiffnlp/twitter-roberta-base-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/twitter-roberta-base-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cardiffnlp/twitter-roberta-base-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/twitter-roberta-base-emotion") model = AutoModelForSequenceClassification.from_pretrained("cardiffnlp/twitter-roberta-base-emotion", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d7d81482ed6d6af8e29c68157b55aecc0a395936d690db4f4a5186c7f1dae90
- Size of remote file:
- 499 MB
- SHA256:
- c605df58630c40a599a39c88a783a7f48b34f56941918611459384ce8bc4f4d6
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