Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Sharpaxis/News_classification_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sharpaxis/News_classification_distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sharpaxis/News_classification_distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sharpaxis/News_classification_distilbert") model = AutoModelForSequenceClassification.from_pretrained("Sharpaxis/News_classification_distilbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b709048ed5418ab546c7f370c3af1e692247a248da4ff729c13c512d12533e9a
- Size of remote file:
- 5.3 kB
- SHA256:
- 8f8edef5bd5699559ba0b8e3b8d1cd9a64284e457a6c3f9f0a593b866b8ec727
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