Text Classification
Transformers
Safetensors
English
bert
sarcasm
sentiment-analysis
binary-classification
Instructions to use kokomoreno/reviews-sarcasm-detection-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kokomoreno/reviews-sarcasm-detection-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kokomoreno/reviews-sarcasm-detection-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kokomoreno/reviews-sarcasm-detection-model") model = AutoModelForSequenceClassification.from_pretrained("kokomoreno/reviews-sarcasm-detection-model") - Notebooks
- Google Colab
- Kaggle
README.md exists but content is empty.
- Downloads last month
- 1
Model tree for kokomoreno/reviews-sarcasm-detection-model
Base model
google-bert/bert-base-uncased