Text Classification
Transformers
ONNX
Safetensors
bert
toxicity
bert-tiny
gravitee-io
ai-gateway
text-embeddings-inference
Instructions to use gravitee-io/bert-tiny-toxicity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gravitee-io/bert-tiny-toxicity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gravitee-io/bert-tiny-toxicity")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gravitee-io/bert-tiny-toxicity") model = AutoModelForSequenceClassification.from_pretrained("gravitee-io/bert-tiny-toxicity") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ce7d4e1c4aaa6903a75468b24ccea10c0ea728b019284bd0e480df2d42a5a92
- Size of remote file:
- 17.6 MB
- SHA256:
- 797823756d113b3226678a8a4f6fbfa69e38a18e7fb2d2356e93bc8d443e0a45
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