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:
- be37330e395cb2640691f467298593557205534ee699d819366e42c2f632ae00
- Size of remote file:
- 11.4 MB
- SHA256:
- 6f2668c4eb8c962f744793f1f89231f2cf80ef8c903f78016c0c0ef9fd5240e4
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