Instructions to use BenjaminOcampo/task-implicit_task__model-bert__aug_method-rne 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-rne 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-rne")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-rne") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-rne") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9cbac773684b0ff2bd7213b8918fbd62ecd5a3896321e0ff5f6e8cf7a9fdfd9f
- Size of remote file:
- 438 MB
- SHA256:
- cc1dcdbbdacd73e253da12495d25ea27edf244cd1ac7f93acb082c9515d66f2a
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