Instructions to use BenjaminOcampo/task-implicit_task__model-bert__aug_method-gm_revised 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-gm_revised 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-gm_revised")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-gm_revised") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-gm_revised") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0f4329eaaba67f9f7de0f417fd01c30b5ec3898797fb973b7fd10e366334e45
- Size of remote file:
- 438 MB
- SHA256:
- 0af72ea05edd7abeb34d8f3f6cdf7d93a1c450c8abbf1da104969447a3840dbb
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