Instructions to use PascalY/bert-finetuned-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PascalY/bert-finetuned-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PascalY/bert-finetuned-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PascalY/bert-finetuned-emotion") model = AutoModelForSequenceClassification.from_pretrained("PascalY/bert-finetuned-emotion") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47f3baadc1f3d32314548a9ceaafe88b175de7d642ab1bbbcf316484aff5251c
- Size of remote file:
- 3.96 kB
- SHA256:
- 71058dd7660f77cda1bf64d574fd89fa0c7547f206be18fa247435a62be1946f
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