Text Classification
Transformers
ONNX
Safetensors
bert
toxicity
bert-tiny
gravitee-io
ai-gateway
text-embeddings-inference
Instructions to use yrrhall/bert-tiny-toxicity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yrrhall/bert-tiny-toxicity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yrrhall/bert-tiny-toxicity")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yrrhall/bert-tiny-toxicity") model = AutoModelForSequenceClassification.from_pretrained("yrrhall/bert-tiny-toxicity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37c4813899be4902a8d94eeec3b016a8d3c0b1e379f6ec3bcfe9212ff198da98
- Size of remote file:
- 17.5 MB
- SHA256:
- b9adbb07ffc75147b128e0d9177a4275c9dd864719c7a1335040021c7e333076
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