Instructions to use BenjaminOcampo/task-subtle_task__model-deberta__aug_method-ri 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-ri 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-ri", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-ri") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-ri", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d700fd9ee3c3b02d785edd837fe6c6076208599ae64351b09961b0d48df3cd7
- Size of remote file:
- 738 MB
- SHA256:
- 6e54090f0f0947134248ec90651a90fc526ebf3618cb39a23fc36dc66f46bf04
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