Instructions to use BenjaminOcampo/task-subtle_task__model-bert__aug_method-ri 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-ri 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-ri")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-ri") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-ri") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7212e100c987e70e729352b67d6a14cd060dd67ce3c6783b231e2a4df0f72974
- Size of remote file:
- 438 MB
- SHA256:
- 8cc39b60412d6dee7dedfded3067255f2e3f28e13996d9776c3d63152b659b17
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