Text Classification
Transformers
PyTorch
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use RJZauner/distilbert_rotten_tomatoes_sentiment_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RJZauner/distilbert_rotten_tomatoes_sentiment_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RJZauner/distilbert_rotten_tomatoes_sentiment_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RJZauner/distilbert_rotten_tomatoes_sentiment_classifier") model = AutoModelForSequenceClassification.from_pretrained("RJZauner/distilbert_rotten_tomatoes_sentiment_classifier") - Notebooks
- Google Colab
- Kaggle
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