Instructions to use BenjaminOcampo/task-subtle_task__model-bert__aug_method-all 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-all 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-all")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-all") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-all") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 187672bb9ec378160b9c7e782426e0b49384d6087dc02ebc02c9e711e8a8acd9
- Size of remote file:
- 438 MB
- SHA256:
- b59cd85267b0cfe79dab1976c2f3440ed83e2d8d15eaa2b5b5ac550240cb1932
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