Instructions to use vikp/surya_order with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vikp/surya_order with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("vikp/surya_order") model = AutoModel.from_pretrained("vikp/surya_order", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from vikp/surya_order: direct link, hf CLI and curl.
- Browser
- Download file 160 Bytes
-
https://huggingface.co/vikp/surya_order/resolve/7b727d0a2c942cdc8596d186115f65c12c812bd8/generation_config.json
- Command line
-
hf download hf://vikp/surya_order@7b727d0a2c942cdc8596d186115f65c12c812bd8/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/vikp/surya_order/resolve/7b727d0a2c942cdc8596d186115f65c12c812bd8/generation_config.json
160 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "eos_token_id": 2, | |
| "forced_eos_token_id": 2, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.36.2" | |
| } | |