Instructions to use BenjaminOcampo/task-implicit_task__model-deberta__aug_method-None with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenjaminOcampo/task-implicit_task__model-deberta__aug_method-None with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BenjaminOcampo/task-implicit_task__model-deberta__aug_method-None")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-None") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-implicit_task__model-deberta__aug_method-None", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d162aec91554efb88ff72de83f7b8e8613c462e53cf30c0267f7a4e7d32d0ca3
- Size of remote file:
- 3.39 kB
- SHA256:
- fc4284b6964d502af357a8403363fa9772ee9652ea7de20abf370b77f6bc6d7b
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