Instructions to use AtharvaMalvade2/Multi-Label-Classification-of-PubMed-Articles with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AtharvaMalvade2/Multi-Label-Classification-of-PubMed-Articles with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AtharvaMalvade2/Multi-Label-Classification-of-PubMed-Articles")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AtharvaMalvade2/Multi-Label-Classification-of-PubMed-Articles") model = AutoModelForSequenceClassification.from_pretrained("AtharvaMalvade2/Multi-Label-Classification-of-PubMed-Articles") - Notebooks
- Google Colab
- Kaggle
Ctrl+K