Instructions to use Kendamarron/jimba-instruction-or-not-classifier-beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kendamarron/jimba-instruction-or-not-classifier-beta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kendamarron/jimba-instruction-or-not-classifier-beta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Kendamarron/jimba-instruction-or-not-classifier-beta") model = AutoModelForSequenceClassification.from_pretrained("Kendamarron/jimba-instruction-or-not-classifier-beta") - Notebooks
- Google Colab
- Kaggle