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:
- 4d7f82b2d76afa5b81c9cf45af64f5b112c6ee6708dec1f163caf0140ea1c327
- Size of remote file:
- 438 MB
- SHA256:
- 4582b39efde62d71ffead7c2ce6d89026d85dde8ff643c094910f223b6ab99ff
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