Instructions to use affahrizain/roberta-base-binary-toxic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use affahrizain/roberta-base-binary-toxic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="affahrizain/roberta-base-binary-toxic")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("affahrizain/roberta-base-binary-toxic") model = AutoModelForSequenceClassification.from_pretrained("affahrizain/roberta-base-binary-toxic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18a46d61430ffb46cb4268e699b87b244b5c94fe63eda05aba51d9a5d1f7384d
- Size of remote file:
- 499 MB
- SHA256:
- 87e8149fca5731cde276435ea7a02f2b897f207468cb68f1c732e2615606a9e6
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