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")# pip install -U transformers accelerate # 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
Download added_tokens.json from vbolshakov/RuLUKE-lean: direct link, hf CLI and curl.
- Browser
- Download file 40 Bytes
-
https://huggingface.co/vbolshakov/RuLUKE-lean/resolve/main/added_tokens.json
- Command line
-
hf download hf://vbolshakov/RuLUKE-lean/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/vbolshakov/RuLUKE-lean/resolve/main/added_tokens.json
40 Bytes
| { | |
| "<ent2>": 55084, | |
| "<ent>": 55083 | |
| } | |