Instructions to use BenjaminOcampo/task-subtle_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-subtle_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-subtle_task__model-deberta__aug_method-None")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-None") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-None", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cda6ec236cfba2122c019334963affb4ba9b901e3c1e17f3e1f8cef4b585a455
- Size of remote file:
- 738 MB
- SHA256:
- 6351e2542d459dc0bbd7adc254740fb96b0d2ec8ff33a0e2ef28d18895be8f9c
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