Instructions to use BenjaminOcampo/task-subtle_task__model-bert__aug_method-ra 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-ra 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-ra")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-ra") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-ra") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67a75d645cb8f8faa9d5f815ddb0e1ec92f0e210cae70796b07ad0d87910fae0
- Size of remote file:
- 438 MB
- SHA256:
- 93c2c507137a4bcd7f9150f572fdac037a3354fc461b1303053b6883af81fdd0
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