Instructions to use BenjaminOcampo/task-subtle_task__model-bert__aug_method-gm 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-gm 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-gm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-gm") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-gm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e76bdd309053b6e0315c32f7197fb1b2e45e33944c3b187e93ee4fbe21c9ef09
- Size of remote file:
- 438 MB
- SHA256:
- e3dcfda181b94fc52b59df96fac14343277f4849ef02cb670c60c2c6b52893f9
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