Text Classification
Transformers
Safetensors
bert
m4
paper-link-prediction
papers
repository-library
research-library
scientific-papers
t1_metadata
text-embeddings-inference
Instructions to use PeytonT/paper-link-prediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PeytonT/paper-link-prediction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PeytonT/paper-link-prediction")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PeytonT/paper-link-prediction") model = AutoModelForSequenceClassification.from_pretrained("PeytonT/paper-link-prediction") - Notebooks
- Google Colab
- Kaggle
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