Text Classification
Transformers
PyTorch
Enawené-Nawé
distilbert
Trained with AutoTrain
text-embeddings-inference
Instructions to use tolgadev/rottentomato-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tolgadev/rottentomato-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tolgadev/rottentomato-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tolgadev/rottentomato-classifier") model = AutoModelForSequenceClassification.from_pretrained("tolgadev/rottentomato-classifier") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
Ctrl+K