Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ntAnh-dev/news-category-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ntAnh-dev/news-category-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ntAnh-dev/news-category-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ntAnh-dev/news-category-classification") model = AutoModelForSequenceClassification.from_pretrained("ntAnh-dev/news-category-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df66cbfdf0baa2384398df615f2f99cee98752a8c45451abc9551a7d1dab8150
- Size of remote file:
- 268 MB
- SHA256:
- 9dc2f2a7fb82a0ea5b9b5b8fe70167d250f16c5758cc4d58ae78407285b6f683
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