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:
- f04a6842153d9febaeb17fe57110b6db4be5573777ba8772ac8e893460d0b773
- Size of remote file:
- 5.3 kB
- SHA256:
- 8b9221b238ca949d3e00bb5cd2a6f3140020c121c56b5ac1f87431aadf9222a1
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