Instructions to use BenjaminOcampo/task-implicit_task__model-bert__aug_method-ra 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-ra 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-ra")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-ra") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-bert__aug_method-ra") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba4e348f3893d3059b151dac3895a5c201145966412f56f0780813429f593a82
- Size of remote file:
- 438 MB
- SHA256:
- 51c5fdbee9c0231ab90a11838210c0170415d7c541b211d5a20062b9d5885ea1
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