Instructions to use Ola172/article_classification_modelv1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ola172/article_classification_modelv1.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ola172/article_classification_modelv1.1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ola172/article_classification_modelv1.1") model = AutoModelForSequenceClassification.from_pretrained("Ola172/article_classification_modelv1.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Ola172/article_classification_modelv1.1")
model = AutoModelForSequenceClassification.from_pretrained("Ola172/article_classification_modelv1.1", device_map="auto")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ola172/article_classification_modelv1.1")