Instructions to use SAdeosun/Pharmacy-Practice-Research-Domain-Classifier_PPRDC_Abstract with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SAdeosun/Pharmacy-Practice-Research-Domain-Classifier_PPRDC_Abstract with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SAdeosun/Pharmacy-Practice-Research-Domain-Classifier_PPRDC_Abstract")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SAdeosun/Pharmacy-Practice-Research-Domain-Classifier_PPRDC_Abstract") model = AutoModelForSequenceClassification.from_pretrained("SAdeosun/Pharmacy-Practice-Research-Domain-Classifier_PPRDC_Abstract") - Notebooks
- Google Colab
- Kaggle
Commit History
Upload BertForSequenceClassification 9b045e8 verified
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