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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1db320925b59fca080d0ee8cbec440a322cf05b75732a90da64a7caf0a85a258
- Size of remote file:
- 268 MB
- SHA256:
- 80d26f8d631ca24eac50200b5b4e06fe970d5228f395f323cd9265b550a8621a
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