Instructions to use BenjaminOcampo/task-implicit_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-implicit_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-implicit_task__model-bert__aug_method-all")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-all") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-all") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 203c655bf3e124e4361ce1953fd96bf93ba0c748de2d2ac072bf993bc8f8df43
- Size of remote file:
- 438 MB
- SHA256:
- f6f3d46fd5f95a40a0da3a670e2150887e6a3354e1aa114a2bb4db4f6d98c75e
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