Text Classification
Transformers
TensorFlow
roberta
generated_from_keras_callback
text-embeddings-inference
Instructions to use javilonso/classificationEsp1_Augmented_Attraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use javilonso/classificationEsp1_Augmented_Attraction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="javilonso/classificationEsp1_Augmented_Attraction")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("javilonso/classificationEsp1_Augmented_Attraction") model = AutoModelForSequenceClassification.from_pretrained("javilonso/classificationEsp1_Augmented_Attraction") - Notebooks
- Google Colab
- Kaggle