Text Classification
Transformers
Safetensors
bert
graph-neighborhood-router
l6
repository-library
repository_library_search_stack
research-library
retrieval
text-embeddings-inference
Instructions to use PeytonT/graph-neighborhood-router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PeytonT/graph-neighborhood-router with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PeytonT/graph-neighborhood-router")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PeytonT/graph-neighborhood-router") model = AutoModelForSequenceClassification.from_pretrained("PeytonT/graph-neighborhood-router", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K