Instructions to use circulus/nsfw_text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use circulus/nsfw_text with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="circulus/nsfw_text")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("circulus/nsfw_text") model = AutoModelForSequenceClassification.from_pretrained("circulus/nsfw_text") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1650178579f29cce4c22fbb50cabf0f96943e3179e7e144e55fb280997359ede
- Size of remote file:
- 3.32 kB
- SHA256:
- dcfe2407ff98dc74e55be325b81829653d7c461236aaae608148bbfc14ec5118
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