Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use tcapelle/toxicity-scorer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tcapelle/toxicity-scorer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tcapelle/toxicity-scorer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tcapelle/toxicity-scorer") model = AutoModelForSequenceClassification.from_pretrained("tcapelle/toxicity-scorer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 712f464c726ee453a77552aea0b6e2872fa13070568fbb347a6d52f98d9f2bff
- Size of remote file:
- 5.3 kB
- SHA256:
- ec69dc446816c599419b24b7bfe6912df8f4bc1ab9e4fa5be8cc59f12c69f0e2
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