Instructions to use phishbot/ScamLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phishbot/ScamLLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="phishbot/ScamLLM")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("phishbot/ScamLLM") model = AutoModelForSequenceClassification.from_pretrained("phishbot/ScamLLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from phishbot/ScamLLM: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/phishbot/ScamLLM/resolve/24af85ada17dcd7fde41666f1790de68fd925516/tokenizer.json
- Command line
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hf download hf://phishbot/ScamLLM@24af85ada17dcd7fde41666f1790de68fd925516/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/phishbot/ScamLLM/resolve/24af85ada17dcd7fde41666f1790de68fd925516/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.