Instructions to use Hieu/scam-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hieu/scam-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hieu/scam-detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hieu/scam-detection") model = AutoModelForSequenceClassification.from_pretrained("Hieu/scam-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Hieu/scam-detection: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/Hieu/scam-detection/resolve/main/training_args.bin
- Command line
-
hf download hf://Hieu/scam-detection/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Hieu/scam-detection/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- cb53690c1d81f754ff5dc21b0c8af01873cfe6368cbac565830513da21d66897
- Size of remote file:
- 2.99 kB
- SHA256:
- f126a8a952aa3e45e7b6a44ec9ce586f1b84b6a5117b7f091abd8d333ae55e89
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