Text Classification
Transformers
Safetensors
English
distilbert
content-moderation
comment-moderation
text-moderation
text-embeddings-inference
Instructions to use Vrandan/Comment-Moderation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vrandan/Comment-Moderation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Vrandan/Comment-Moderation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Vrandan/Comment-Moderation") model = AutoModelForSequenceClassification.from_pretrained("Vrandan/Comment-Moderation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f4f041cc6062080963bfd3eb44c79a28942da5e7f3ec9eb8ae4202f56693520
- Size of remote file:
- 268 MB
- SHA256:
- 70cc87d6ec74802a19305ad91e148e562cb05bb3bec5678801ef7c827396737d
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