Instructions to use nsstt/opinionated_article_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nsstt/opinionated_article_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nsstt/opinionated_article_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nsstt/opinionated_article_classifier") model = AutoModelForSequenceClassification.from_pretrained("nsstt/opinionated_article_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 33e1cf6
Training in progress, epoch 7
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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