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:
- 49eb9971ce019b6324fc82a1b9d33c174e1d6e9ae46eaae80aa1f027c7e16b43
- Size of remote file:
- 29 MB
- SHA256:
- 445a0b17b72ca0a2090285d7852e9681fe06a9bb2edc563ca87140ddc5b013df
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