Instructions to use ua-l/topics-classifier-std-distilbert-base-uncased-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ua-l/topics-classifier-std-distilbert-base-uncased-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ua-l/topics-classifier-std-distilbert-base-uncased-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ua-l/topics-classifier-std-distilbert-base-uncased-en") model = AutoModelForSequenceClassification.from_pretrained("ua-l/topics-classifier-std-distilbert-base-uncased-en") - Notebooks
- Google Colab
- Kaggle