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:
- 3f433491eca23095d21516047f48f32afc007d7a2ce075df01fdb4cb616a56af
- Size of remote file:
- 627 Bytes
- SHA256:
- e5d073ca29c5b5c00ca86ac7cf2513d21cbd4551c1105f04d1724baadfb572a8
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