Instructions to use jpancorbTaniwa/clickbait_es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jpancorbTaniwa/clickbait_es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jpancorbTaniwa/clickbait_es")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jpancorbTaniwa/clickbait_es") model = AutoModelForSequenceClassification.from_pretrained("jpancorbTaniwa/clickbait_es") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer.json +1 -3
tokenizer.json
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"strategy":
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"direction": "Right",
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"pad_to_multiple_of": null,
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"strategy": "BatchLongest",
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"direction": "Right",
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"pad_to_multiple_of": null,
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"pad_id": 1,
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