Text Classification
Transformers
TensorFlow
distilbert
generated_from_keras_callback
text-embeddings-inference
Instructions to use abilfad/sentiment-binary-dicoding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abilfad/sentiment-binary-dicoding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abilfad/sentiment-binary-dicoding")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abilfad/sentiment-binary-dicoding") model = AutoModelForSequenceClassification.from_pretrained("abilfad/sentiment-binary-dicoding") - Notebooks
- Google Colab
- Kaggle
File too large to display, you can check the raw version instead.