Instructions to use DrMatters/rubert_cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DrMatters/rubert_cased with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DrMatters/rubert_cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from DrMatters/rubert_cased: direct link, hf CLI and curl.
- Browser
- Download file 714 MB
-
https://huggingface.co/DrMatters/rubert_cased/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://DrMatters/rubert_cased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DrMatters/rubert_cased/resolve/main/pytorch_model.bin
714 MB
- Xet hash:
- 0659fcb2591eede838f99a8429cc6c26f2ed39ac5dd0119c38779c06709dd29b
- Size of remote file:
- 714 MB
- SHA256:
- 9fe59c7b1ba440d9d30bf1e1b9d4ef8e2b5bbdd16bc210cceaa40b06ff8a6421
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