Instructions to use Mentatko/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mentatko/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mentatko/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mentatko/dummy-model") model = AutoModelForSequenceClassification.from_pretrained("Mentatko/dummy-model") - Notebooks
- Google Colab
- Kaggle
Commit History
After Training, accuracy: 0.7818627450980392 66cf16a
Oleksandr Yanov commited on
After Training, accuracy: 0.8455882352941176 0fbaeb5
Oleksandr Yanov commited on
After Training, accuracy: 0.8161764705882353 1433e10
Oleksandr Yanov commited on
After Training 50ba4ef
Oleksandr Yanov commited on