Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use anonymous813ker/emotion-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anonymous813ker/emotion-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anonymous813ker/emotion-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anonymous813ker/emotion-classifier") model = AutoModelForSequenceClassification.from_pretrained("anonymous813ker/emotion-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d42c5c1fa8fd218a94a943aa4c27abe9ac07d97e358f2c6f45fcf632a63dbf9
- Size of remote file:
- 5.14 kB
- SHA256:
- 0ce8d3170bc0ec646d290622202df2ef63cd4c8b536578fd21878865f98b6f90
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