Instructions to use AyoubChLin/distilbert_cnn_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AyoubChLin/distilbert_cnn_news with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AyoubChLin/distilbert_cnn_news")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AyoubChLin/distilbert_cnn_news") model = AutoModelForSequenceClassification.from_pretrained("AyoubChLin/distilbert_cnn_news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5e107376b4aed4480d8b5896b086b2b5bbce78e99e9d04ee947af8f516833da
- Size of remote file:
- 268 MB
- SHA256:
- 9753663fee5b8a898fc9a184af9c44f5f609d917daac93899240c581fe609323
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