Instructions to use baikalai/dbert5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baikalai/dbert5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("baikalai/dbert5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from baikalai/dbert5: direct link, hf CLI and curl.
- Browser
- Download file 500 MB
-
https://huggingface.co/baikalai/dbert5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://baikalai/dbert5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/baikalai/dbert5/resolve/main/pytorch_model.bin
500 MB
- Xet hash:
- 1f1e32a0e3855e6b0702a3eeb96d4315fb9eb0e97e040750317fc9288230dc45
- Size of remote file:
- 500 MB
- SHA256:
- a95b013b893f3de29bf8da83fec997e036f952062f563198fe4eeb37443fc69d
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