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 tokenizer_config.json from baikalai/dbert5: direct link, hf CLI and curl.
- Browser
- Download file 56 Bytes
-
https://huggingface.co/baikalai/dbert5/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://baikalai/dbert5/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/baikalai/dbert5/resolve/main/tokenizer_config.json
56 Bytes
| { | |
| "do_lower_case": false, | |
| "model_max_length": 128 | |
| } | |