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:
- 2b839203d44202decb7a22e07cb917cab1e955372d7e859cd1cbf60670ff3a57
- Size of remote file:
- 438 MB
- SHA256:
- caf9f483230efbc5885e324d94ef07881032cdbad0d60a8bd4936dfd49764775
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