Text Classification
Transformers
PyTorch
English
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use sabre-code/distilbert-base-uncased-finetuned-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sabre-code/distilbert-base-uncased-finetuned-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sabre-code/distilbert-base-uncased-finetuned-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sabre-code/distilbert-base-uncased-finetuned-emotion") model = AutoModelForSequenceClassification.from_pretrained("sabre-code/distilbert-base-uncased-finetuned-emotion") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70a1072f72adac11c184f71724a91f7a5c703dc4a43afaf7fe3712beff5de7c1
- Size of remote file:
- 4.09 kB
- SHA256:
- 1cda19d25533755a98923207cf0a04008d396ad974a6f231f194a799af54b51f
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