Instructions to use BenjaminOcampo/model-hatebert__trained-in-toxigen__seed-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenjaminOcampo/model-hatebert__trained-in-toxigen__seed-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BenjaminOcampo/model-hatebert__trained-in-toxigen__seed-1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/model-hatebert__trained-in-toxigen__seed-1") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/model-hatebert__trained-in-toxigen__seed-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe7ede53063a2ab15d48002e78546f87308584f8ab5d1c63681a43e75917f2da
- Size of remote file:
- 3.52 kB
- SHA256:
- 8581eaecbe034e68dab160a9ba1060f1c29f19f26427d727c3853aadf51e4bd9
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