Instructions to use l3cube-pune/odia-topic-all-doc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use l3cube-pune/odia-topic-all-doc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="l3cube-pune/odia-topic-all-doc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/odia-topic-all-doc") model = AutoModelForSequenceClassification.from_pretrained("l3cube-pune/odia-topic-all-doc") - Notebooks
- Google Colab
- Kaggle
Ctrl+K