Instructions to use dima806/news-category-classifier-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dima806/news-category-classifier-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dima806/news-category-classifier-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dima806/news-category-classifier-distilbert") model = AutoModelForSequenceClassification.from_pretrained("dima806/news-category-classifier-distilbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db60dac035fa74a8d659773f424f4ec21352b78c22f0362171611305dc6438f8
- Size of remote file:
- 4.03 kB
- SHA256:
- 92affd5b51510b928ccf9a7d9064a62bd7796ca3d2668f003694a847e0ff17b7
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