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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 191a78faf402e27c40898b608b9d4cf74d5a4b8dcfe870bd36135f941549ca59
- Size of remote file:
- 4.28 kB
- SHA256:
- 8aeecd425e761739ae15f420cac1046cfbe65564d028196d8edba00d6797c136
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