Instructions to use BenjaminOcampo/task-implicit_task__model-bert__aug_method-gm 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 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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-gm") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-gm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14931a192c4de56d6a8b91715759e905e596ae36f778e0c42f2e2aff88763583
- Size of remote file:
- 438 MB
- SHA256:
- 56cb7d8b7f5f28b9aee397685b40ef58755d11435c5bc9120aae4562f521546d
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