Instructions to use BenjaminOcampo/task-subtle_task__model-bert__aug_method-aav 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-aav 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-aav")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-aav") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-aav", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97e900b0484d70d77f8ee48fd597c552de142050cf101ef7d11cd4ba34574fee
- Size of remote file:
- 3.39 kB
- SHA256:
- 1780e18d707c942db564865b65090f36d3ac1ea66243ff3f53c9ce69c9673ae2
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