Instructions to use BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-None with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-None with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-None")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-None") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-hatebert__aug_method-None") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc2032d96f57b59d638744c44ae13037194294e0c76d4b42b9090fe25250628c
- Size of remote file:
- 438 MB
- SHA256:
- 9a4fbf7a534e514142ef919c67864da281c3efb37dc942aa462dd3bcf7df62aa
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