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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library_name: transformers
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license: odc-by
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datasets:
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- tceron/wildseek
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language:
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- en
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metrics:
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library_name: transformers
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license: odc-by
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datasets:
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- tceron/wildseek-5categories
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language:
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- en
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metrics:
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