Instructions to use huolongguo10/Spam_Detect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huolongguo10/Spam_Detect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="huolongguo10/Spam_Detect")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("huolongguo10/Spam_Detect") model = AutoModelForSequenceClassification.from_pretrained("huolongguo10/Spam_Detect") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7eb62ea7ea5d4809e3cb2ef7fc42eb4cde462dd503a00017e9a1efb8717a92c8
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size 46172280
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