Instructions to use ravan18/spam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ravan18/spam with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ravan18/spam")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ravan18/spam") model = AutoModelForSequenceClassification.from_pretrained("ravan18/spam", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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- h-e-l-l-o/email-spam-classification-merged
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new_version: ravan18/spam
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pipeline_tag: text-classification
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library_name:
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tags:
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- legal
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---
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- h-e-l-l-o/email-spam-classification-merged
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new_version: ravan18/spam
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pipeline_tag: text-classification
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library_name: transformers
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tags:
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- legal
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