Text Classification
Transformers
Safetensors
English
distilbert
multi-label-classification
content-moderation
toxic-comment-detection
text-embeddings-inference
Instructions to use lakresi/toxic-comment-moderator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lakresi/toxic-comment-moderator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lakresi/toxic-comment-moderator")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lakresi/toxic-comment-moderator") model = AutoModelForSequenceClassification.from_pretrained("lakresi/toxic-comment-moderator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d29030d3924d7921a56425871e71e381b4240ca5a1664b1802ad6916a41fc6f
- Size of remote file:
- 268 MB
- SHA256:
- baf9072a61b01b84cfefa402941744137d9e77662fab54f5ae1bc3142c5fdc1f
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