Instructions to use roshana1s/spam-message-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roshana1s/spam-message-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="roshana1s/spam-message-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("roshana1s/spam-message-classifier") model = AutoModelForSequenceClassification.from_pretrained("roshana1s/spam-message-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from roshana1s/spam-message-classifier: direct link, hf CLI and curl.
- Browser
- Download file 999 kB
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https://huggingface.co/roshana1s/spam-message-classifier/resolve/main/vocab.json
- Command line
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hf download hf://roshana1s/spam-message-classifier/vocab.json
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curl -L -o vocab.json https://huggingface.co/roshana1s/spam-message-classifier/resolve/main/vocab.json
999 kB
File too large to display, you can check the raw version instead.