Instructions to use BenjaminOcampo/task-subtle_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-subtle_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-subtle_task__model-bert__aug_method-None")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-None") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-bert__aug_method-None", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62f94aabb0aa796f066ab5458427094faec9c76cdd47b4d5b6a55afa02c5aad0
- Size of remote file:
- 3.39 kB
- SHA256:
- 6fdd6a30d7d2923be4de5a5fafff9d19fe0151201545dcb4432b6126c13a39bf
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