Instructions to use caush/Clickbait3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use caush/Clickbait3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="caush/Clickbait3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("caush/Clickbait3") model = AutoModelForSequenceClassification.from_pretrained("caush/Clickbait3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0568e6a459b1bae7772fbf334a6ae957c649dd2ec528dadeb9f9a61e460b55f6
- Size of remote file:
- 2.99 kB
- SHA256:
- f00dfd2b2ada64577317c312d1c7ad67051479b1b4b561181d3c60dd92de3292
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