Instructions to use BenjaminOcampo/task-subtle_task__model-deberta__aug_method-rsa 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-rsa 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-rsa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-rsa") model = AutoModelForSequenceClassification.from_pretrained("BenjaminOcampo/task-subtle_task__model-deberta__aug_method-rsa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5d3adadc91a1a7faab6495407af3fd05dbdf843ec93ff39f55882f3299e27b9
- Size of remote file:
- 3.39 kB
- SHA256:
- 851c63ab793853306d0b9dcf74a9ada1dea5fc3b6eb5443359bd1e152eb56f8e
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