Instructions to use JeanMachado/unwanted_content_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JeanMachado/unwanted_content_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JeanMachado/unwanted_content_detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JeanMachado/unwanted_content_detector") model = AutoModelForSequenceClassification.from_pretrained("JeanMachado/unwanted_content_detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04cdfd8e74f9cc2edabb5b6c2e19669e05aca09ccc7a2b3001933f7f54709cc9
- Size of remote file:
- 3.58 kB
- SHA256:
- f64c849b81e0b86cac44f6ff3c58b294fdf1f7c53fe99640b30b24eff226606d
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