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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e3c4c17bfe386ac59b7116f5ee01118e5f2462c3ea26cccec64db1f0635e7c6
- Size of remote file:
- 438 MB
- SHA256:
- a919aae41e171d7f5f23417732a83beffcacbfc3b839c97247c8d91ae4e931fc
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