Instructions to use leoliu/pat_classifier_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leoliu/pat_classifier_distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leoliu/pat_classifier_distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leoliu/pat_classifier_distilbert") model = AutoModelForSequenceClassification.from_pretrained("leoliu/pat_classifier_distilbert") - Notebooks
- Google Colab
- Kaggle
Classify patents into process and product.
Try with the hosted API. Label_1 is the probability of being a process patent and Label_0 is a product.
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