Instructions to use lucadiliello/bleurt-base-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lucadiliello/bleurt-base-128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lucadiliello/bleurt-base-128")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("lucadiliello/bleurt-base-128", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0645584377125be68374fdc00a435e494e45b10c911f1d83c7d9b9dde52b7052
- Size of remote file:
- 438 MB
- SHA256:
- 7a2ed4b4f9b46f99508aee16f06663bb500c7e6963778e2312c431224a2e4f8f
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