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:
- 7326ba8e6dc2f0eb021efaccc401cc2a0f6ac6c1276000cadcefd3cbb79a8ac4
- Size of remote file:
- 438 MB
- SHA256:
- 858d01c8040cc65ecc8465733ccade79937833c23c00fbe46921af792514d2ae
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