Instructions to use lucadiliello/bleurt-tiny-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lucadiliello/bleurt-tiny-128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lucadiliello/bleurt-tiny-128")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("lucadiliello/bleurt-tiny-128", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74381213c52fed85525028ec17b7fa7dcf736399e2a8065ca82dc4632d899877
- Size of remote file:
- 17.6 MB
- SHA256:
- 902717e0b9be985dce86781f74a16358f6d9184734a279c85c25dff02f4be3d1
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