Text Classification
Transformers
ONNX
English
bert
toxic
toxicity
hate speech
offensive language
int8
multi-class-classification
multi-label-classification
ONNXRuntime
text-embeddings-inference
Instructions to use minuva/MiniLMv2-toxic-jigsaw-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minuva/MiniLMv2-toxic-jigsaw-onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="minuva/MiniLMv2-toxic-jigsaw-onnx")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("minuva/MiniLMv2-toxic-jigsaw-onnx") model = AutoModelForSequenceClassification.from_pretrained("minuva/MiniLMv2-toxic-jigsaw-onnx") - Notebooks
- Google Colab
- Kaggle
Transformer JS compatibility
#1 opened almost 2 years ago
by
SaadBazaz