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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ce587424922bb4eb4c74a369db29b37a6c5cc9e489f855007a67c8090c39212
- Size of remote file:
- 268 MB
- SHA256:
- 9fd1e9c5ceb2faab3297fbfd35c64d3845d83128194c8ce885563b90e62424af
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