Instructions to use vngrs/VBART-Large-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vngrs/VBART-Large-Base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vngrs/VBART-Large-Base") model = AutoModelForSeq2SeqLM.from_pretrained("vngrs/VBART-Large-Base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from vngrs/VBART-Large-Base: direct link, hf CLI and curl.
- Browser
- Download file 191 Bytes
-
https://huggingface.co/vngrs/VBART-Large-Base/resolve/main/generation_config.json
- Command line
-
hf download hf://vngrs/VBART-Large-Base/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/vngrs/VBART-Large-Base/resolve/main/generation_config.json
191 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 2, | |
| "decoder_start_token_id": 2, | |
| "eos_token_id": 3, | |
| "forced_eos_token_id": 3, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.40.2" | |
| } | |