Instructions to use BenjaminOcampo/task-subtle_task__model-deberta__aug_method-aav 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-aav 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-aav")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-aav") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-aav", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0529b0e44ad8e21ca5f708928751e34341bd159b8d756a64ac5260ff13a79a83
- Size of remote file:
- 3.39 kB
- SHA256:
- d09c23a3969e332b110b8d696fa910d7905dbcf2c96f26a57789ccfa44daa08d
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