Instructions to use cristuf/classify-clickbait-gpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cristuf/classify-clickbait-gpu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cristuf/classify-clickbait-gpu")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cristuf/classify-clickbait-gpu") model = AutoModelForSequenceClassification.from_pretrained("cristuf/classify-clickbait-gpu") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fda67941be49ab46d3a64f1a6ea1ebf7f7bc27d95588b111dbf84e3a812d4db6
- Size of remote file:
- 5.05 kB
- SHA256:
- e982a23881d4021c7ef4d90a554d9e9d7a81690c2674b1de8c89f6d0e0d91f1f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.