Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use zdepablo/distilbert-base-uncased-finetuned-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zdepablo/distilbert-base-uncased-finetuned-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zdepablo/distilbert-base-uncased-finetuned-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zdepablo/distilbert-base-uncased-finetuned-emotion") model = AutoModelForSequenceClassification.from_pretrained("zdepablo/distilbert-base-uncased-finetuned-emotion") - Notebooks
- Google Colab
- Kaggle
Training completed!
Browse files
runs/Mar09_22-54-19_95f8d6f4cbf0/events.out.tfevents.1646866506.95f8d6f4cbf0.35.0
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