Instructions to use ayoubkirouane/BERT-Emotions-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayoubkirouane/BERT-Emotions-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ayoubkirouane/BERT-Emotions-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ayoubkirouane/BERT-Emotions-Classifier") model = AutoModelForSequenceClassification.from_pretrained("ayoubkirouane/BERT-Emotions-Classifier") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fe94b46e8a86648ee558433b165d424b16afbb1e1fbe56a768c5ee23468e56d
- Size of remote file:
- 438 MB
- SHA256:
- de773cd0b696a2d38c89c7c5e081d3c6912b2c0b755001aa69a16675c6dc0d94
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