Instructions to use affahrizain/bert-base-binary-toxic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use affahrizain/bert-base-binary-toxic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="affahrizain/bert-base-binary-toxic")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("affahrizain/bert-base-binary-toxic") model = AutoModelForSequenceClassification.from_pretrained("affahrizain/bert-base-binary-toxic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fbfc49b0365a2c2de068fe21c448c3c97f369321364d2f32d16dde315e13fd1
- Size of remote file:
- 3.31 kB
- SHA256:
- 7046475060f4ddc1304e0bb50f9e38d97e2c1f00e348c7ab36548bde45847c4f
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