Instructions to use Svetlana0303/Regression_xlnet_aug_CustomLoss with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Svetlana0303/Regression_xlnet_aug_CustomLoss with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Svetlana0303/Regression_xlnet_aug_CustomLoss")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Svetlana0303/Regression_xlnet_aug_CustomLoss") model = AutoModelForSequenceClassification.from_pretrained("Svetlana0303/Regression_xlnet_aug_CustomLoss", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ed8eaafc7f9a63d3eddd92777c9ad9e8435908963d5a73fbf0be6c9341485f4
- Size of remote file:
- 3.64 kB
- SHA256:
- b69295dfff05c1c30a54fa0558fdbef6d129ce4bb3a693f70491b122dd74306c
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