Instructions to use joseph10/tinybert-toxigen-bothpretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joseph10/tinybert-toxigen-bothpretrained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joseph10/tinybert-toxigen-bothpretrained")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joseph10/tinybert-toxigen-bothpretrained") model = AutoModelForSequenceClassification.from_pretrained("joseph10/tinybert-toxigen-bothpretrained") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9de72af929c62df5ce4e91b669815ee8cec70902c295fa9ce58557152eb45d0d
- Size of remote file:
- 4.79 kB
- SHA256:
- 3eb2fa9385f849eb866ad3035532b6d19d366abf33367178eadd05fcce7b8540
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