Instructions to use kyLELEng/bert-ag-news-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kyLELEng/bert-ag-news-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kyLELEng/bert-ag-news-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kyLELEng/bert-ag-news-classifier") model = AutoModelForSequenceClassification.from_pretrained("kyLELEng/bert-ag-news-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5321b81aa5e34cd4e4a2153095e20c1b3129c5a4886f097af4e0ee178dc48f60
- Size of remote file:
- 5.39 kB
- SHA256:
- 7e344e24da65f1c28779a39b2278212c9c9c38b410a175970263f8ec04200b67
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.