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
File size: 129 Bytes
c1846f4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8aeecd425e761739ae15f420cac1046cfbe65564d028196d8edba00d6797c136
size 4283
|