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
- Xet hash:
- 2258a0d430de48d76ca29530c5d4bd21d70a6c4eee6a626db9f4432c83e6949f
- Size of remote file:
- 439 MB
- SHA256:
- 3f4198ec8ee3d4349a3a5f3db40298f674cbe554e69bb20e8dc8efc120c09400
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