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
File size: 129 Bytes
c17264f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2e057720f0be79231f202504d1ccce5af52a9c0d2a5dbe4efef978743b6b26b3
size 3387
|