Instructions to use BenjaminOcampo/task-implicit_task__model-bert__aug_method-bt 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-bt 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-bt")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-bt") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-bt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c8ea4f51f5752ef82443926a0a38bb8efe16a4c980a169f3c036a289806e548
- Size of remote file:
- 438 MB
- SHA256:
- 3b02f7565e65b78cf8f4c55f994eb2f53a4f06f26f202b5dfbbd1c2d8c8f55ad
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