Instructions to use BenjaminOcampo/task-subtle_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-subtle_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-subtle_task__model-bert__aug_method-gm_revised")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-gm_revised") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-gm_revised") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6e1d6a52399f0e57f040d3cc6a6868f33a85d719307b5ebac2cfd53d0b14f82
- Size of remote file:
- 438 MB
- SHA256:
- 50d868303bf2fb22ba49034a9ef2ba518d223f0e4aa5ee8ef2bc85f59f1489a8
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