Instructions to use BenjaminOcampo/task-implicit_task__model-bert__aug_method-None 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-None 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-None")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-None") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-None") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6177366765cf6059a59a152cf70487562b8da6bb12450cbfcdf845b0af1c3061
- Size of remote file:
- 438 MB
- SHA256:
- e7a029d0732f7c9ca4b4f9e74772ed65b28aa695d135ab60d81efc8462ba3f64
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