Instructions to use user-anto/bert-emotion-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use user-anto/bert-emotion-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="user-anto/bert-emotion-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("user-anto/bert-emotion-classifier") model = AutoModelForSequenceClassification.from_pretrained("user-anto/bert-emotion-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2bec6bf839383872ca42f01b239c25a8fe83d51982fba62222ae4d86fd3c3370
- Size of remote file:
- 25.7 MB
- SHA256:
- 3dc210e5b860e6dffd5bf375f4b8a399be45afe5bfe21544b017695728ccdef0
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