Text Classification
Transformers
ONNX
Safetensors
bert
toxicity
bert-mini
gravitee-io
ai-gateway
text-embeddings-inference
Instructions to use yrrhall/bert-mini-toxicity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yrrhall/bert-mini-toxicity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yrrhall/bert-mini-toxicity")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yrrhall/bert-mini-toxicity") model = AutoModelForSequenceClassification.from_pretrained("yrrhall/bert-mini-toxicity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ac9da14a148bf97db52a183188b0f11e5c59e2d35c3d22a29ced0ebeab22fd1
- Size of remote file:
- 44.8 MB
- SHA256:
- 71709c552bda564e22fe47872c41ee477b0b0c894e9f40d3e722eb861929c858
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