Instructions to use BenjaminOcampo/task-implicit_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-implicit_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-implicit_task__model-bert__aug_method-gm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-gm") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-gm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ec518486cc2445a4b0e299c509c1d6e1ae12256ca29c57b14520f2ca6c3c6ad
- Size of remote file:
- 3.39 kB
- SHA256:
- 31ded9d5e3b5f92066e2a9cf9ad372bd6de51e19709a87fd3997ebb36f3d3c0d
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