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:
- 2b5858fd86b67c6e8a7f86de5f807c3792f3969592f667352892562ddda5239d
- Size of remote file:
- 469 MB
- SHA256:
- ae24f735475345f1ee67e93fa07dc15ba4fa70708c7c4d3c03273cd39abe7bc3
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