Instructions to use Elron/bleurt-large-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elron/bleurt-large-512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Elron/bleurt-large-512")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Elron/bleurt-large-512") model = AutoModelForSequenceClassification.from_pretrained("Elron/bleurt-large-512", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62db0950b3bee89fbf5b54a618a6b2c3701e09fbc24412d1b2e62623f25dbc1e
- Size of remote file:
- 1.34 GB
- SHA256:
- 6d6eebabf91b103d7c712c84b7b97ee73e8832ee18ffcb2a7d84ae25dcff8033
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