Instructions to use AfroLogicInsect/emotionClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AfroLogicInsect/emotionClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AfroLogicInsect/emotionClassifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AfroLogicInsect/emotionClassifier") model = AutoModelForSequenceClassification.from_pretrained("AfroLogicInsect/emotionClassifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c666364008e6b887c3cb0c4d876e5970b442f23b976a7038142ae0ee516d61b7
- Size of remote file:
- 268 MB
- SHA256:
- 2f7fe43279dc361a9c44692982806c8ce884d891f68cfb2f19bec36aa8cc73c5
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