Text Classification
Transformers
TensorFlow
distilbert
generated_from_keras_callback
text-embeddings-inference
Instructions to use Manirathinam21/DistilBert_SMSSpam_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Manirathinam21/DistilBert_SMSSpam_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Manirathinam21/DistilBert_SMSSpam_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Manirathinam21/DistilBert_SMSSpam_classifier") model = AutoModelForSequenceClassification.from_pretrained("Manirathinam21/DistilBert_SMSSpam_classifier") - Notebooks
- Google Colab
- Kaggle
Commit ·
c6960c1
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Parent(s): f82793a
target label readme updated
Browse files
README.md
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- Train Accuracy: 0.9962
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- Epoch: 2
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## Model description
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More information needed
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- Train Accuracy: 0.9962
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- Epoch: 2
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## Target Labels
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label: a classification label, with possible values including
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- Ham : 0
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- Spam : 1
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## Model description
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More information needed
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