Text Classification
Transformers
Safetensors
English
bert
toxic
toxicity
hate speech
offensive language
multi-class-classification
multi-label-classification
text-embeddings-inference
Instructions to use minuva/MiniLMv2-toxic-jigsaw-lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minuva/MiniLMv2-toxic-jigsaw-lite with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="minuva/MiniLMv2-toxic-jigsaw-lite")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("minuva/MiniLMv2-toxic-jigsaw-lite") model = AutoModelForSequenceClassification.from_pretrained("minuva/MiniLMv2-toxic-jigsaw-lite") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
336da88 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:40418718ceb5ef3def8519eb28897c9753b65a05a6ac4e1bae710095a0cd772a
size 4283
|