Instructions to use tceron/info-seek-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tceron/info-seek-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tceron/info-seek-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tceron/info-seek-classifier") model = AutoModelForSequenceClassification.from_pretrained("tceron/info-seek-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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## Other classifiers from this study are:
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- **`tceron/high-risk-classifier`** — Other, Economic and Financial, Health, Politics, Judicial and Legal, Moral Values and Religion, Security
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- **`tceron/open-endedness-classifier`** — Analytical,
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## Other classifiers from this study are:
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- **`tceron/high-risk-classifier`** — Other, Economic and Financial, Health, Politics, Judicial and Legal, Moral Values and Religion, Security
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- **`tceron/open-endedness-classifier`** — Analytical, Factoid
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