Instructions to use mecoaoge2/ViSpam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mecoaoge2/ViSpam with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mecoaoge2/ViSpam")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mecoaoge2/ViSpam") model = AutoModelForSequenceClassification.from_pretrained("mecoaoge2/ViSpam", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mecoaoge2/ViSpam: direct link, hf CLI and curl.
- Browser
- Download file 1.1 MB
-
https://huggingface.co/mecoaoge2/ViSpam/resolve/main/tokenizer.json
- Command line
-
hf download hf://mecoaoge2/ViSpam/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/mecoaoge2/ViSpam/resolve/main/tokenizer.json
1.1 MB
File too large to display, you can check the raw version instead.