Instructions to use emmatliu/language-agency-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emmatliu/language-agency-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="emmatliu/language-agency-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("emmatliu/language-agency-classifier") model = AutoModelForSequenceClassification.from_pretrained("emmatliu/language-agency-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0eed66e72f18b55929cb2bd1c21618ccee1a11e8bf7e205ccc260a40928e6905
- Size of remote file:
- 2.99 kB
- SHA256:
- 29a76027b5fe39b33ec7425a28b666ebbd153f5fb6c4e92a5b391b488b45afad
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