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:
- dd9e4918db0133f1e9a95866785e450e5e95a1a0fd4b42a44741ef76eff423aa
- Size of remote file:
- 438 MB
- SHA256:
- 65ed43326c3676f9dc0c8585cabadcd538d9f92df57f31958f96530ede889f93
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