Instructions to use orkg/orkgnlp-templates-recommendation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orkg/orkgnlp-templates-recommendation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="orkg/orkgnlp-templates-recommendation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("orkg/orkgnlp-templates-recommendation") model = AutoModelForSequenceClassification.from_pretrained("orkg/orkgnlp-templates-recommendation") - Notebooks
- Google Colab
- Kaggle
This Repository includes the files required to run the Templates Recommendation ORKG-NLP service.
Please check this article for more details about the service.
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