Instructions to use wnic00/news-category-classifier-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wnic00/news-category-classifier-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wnic00/news-category-classifier-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wnic00/news-category-classifier-distilbert") model = AutoModelForSequenceClassification.from_pretrained("wnic00/news-category-classifier-distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9e3bf35cf2707f6b4e563307f0d6431ed16c323f4def3a88b6ef2ed411a8d75
- Size of remote file:
- 438 MB
- SHA256:
- 92526e3dd1dd2ae7bce2cbe5824107e03b49e5e45c6698f1a08d840048267037
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