Instructions to use BenjaminOcampo/task-implicit_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-implicit_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-implicit_task__model-bert__aug_method-ra")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-ra") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-ra") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2795489b502f834d9123b919e2ddbfd3ea40b704be7007e17b5c3632b652095
- Size of remote file:
- 3.39 kB
- SHA256:
- 30e61b961bd2741fece770d7a76598e718188aec214c210fff5856355dd8c738
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