Text Classification
Transformers
TensorFlow
distilbert
generated_from_keras_callback
text-embeddings-inference
Instructions to use mingmingmom888/distilbert_classifier_newsgroups with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mingmingmom888/distilbert_classifier_newsgroups with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mingmingmom888/distilbert_classifier_newsgroups")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mingmingmom888/distilbert_classifier_newsgroups") model = AutoModelForSequenceClassification.from_pretrained("mingmingmom888/distilbert_classifier_newsgroups") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77f62458402c2f2e3ff477c57ffcc87628bd9144bde01726100cdd3f84b66a49
- Size of remote file:
- 268 MB
- SHA256:
- 99b5b66a3f2179d0d55683a297b17df0e8dc6fca1a8a4c87ee1db7af92c24860
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