Instructions to use BenjaminOcampo/task-subtle_task__model-bert__aug_method-bt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenjaminOcampo/task-subtle_task__model-bert__aug_method-bt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BenjaminOcampo/task-subtle_task__model-bert__aug_method-bt")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-bt") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-bt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e10d9b086738c95461535c0551b69bf72ea9753899b93a55ce79fc379469c0d
- Size of remote file:
- 438 MB
- SHA256:
- 830842107d38bed701bc0930ba0c9a3769271e7d1ba80528700e47ed1545aefe
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