Instructions to use BenjaminOcampo/task-implicit_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-implicit_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-implicit_task__model-bert__aug_method-aav")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-aav") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-aav") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b66ead60f617bd726be6baae250730d018daa21b3b89db7972a7264fd74ffc0d
- Size of remote file:
- 3.39 kB
- SHA256:
- 2e057720f0be79231f202504d1ccce5af52a9c0d2a5dbe4efef978743b6b26b3
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