Instructions to use AyoubChLin/bert_cnn_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AyoubChLin/bert_cnn_news with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AyoubChLin/bert_cnn_news")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AyoubChLin/bert_cnn_news") model = AutoModelForSequenceClassification.from_pretrained("AyoubChLin/bert_cnn_news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04d44b2ffc66d59bac542272f027b1618601135c63fa0f062b6a62cdec682e13
- Size of remote file:
- 438 MB
- SHA256:
- 51f9f18947ff884dc33b73b5af103e586687d2d4861343516c5fb9037513294d
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