Instructions to use vbolshakov/RuLUKE-lean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vbolshakov/RuLUKE-lean with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="vbolshakov/RuLUKE-lean")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("vbolshakov/RuLUKE-lean") model = AutoModel.from_pretrained("vbolshakov/RuLUKE-lean", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4192d49561d43ff7cbb21a847c848abc95c54747b0e1aea279a4ad2fc8a9df1
- Size of remote file:
- 613 MB
- SHA256:
- 8ffddcdb1735bbf6b3098520eb54d1afc9927b8c209157b43e44b1444d82a97b
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