Text Classification
Transformers
ONNX
Safetensors
English
bert
toxic
toxicity
offensive language
hate speech
text-embeddings-inference
Instructions to use minuva/MiniLMv2-toxic-jigsaw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minuva/MiniLMv2-toxic-jigsaw with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="minuva/MiniLMv2-toxic-jigsaw")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("minuva/MiniLMv2-toxic-jigsaw") model = AutoModelForSequenceClassification.from_pretrained("minuva/MiniLMv2-toxic-jigsaw") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- acafc82174b2e9515c77848da573c40dc160916c2f546641886c81ea2909886d
- Size of remote file:
- 90.9 MB
- SHA256:
- fc06adcf78c0a07772197feb59d827e7285b2d8b4daafc3dbbef4e10c69cbac3
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