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:
# pip install -U transformers accelerate # 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 special_tokens_map.json from vngrs/VBART-Large-Base: direct link, hf CLI and curl.
- Browser
- Download file 695 Bytes
-
https://huggingface.co/vngrs/VBART-Large-Base/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://vngrs/VBART-Large-Base/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/vngrs/VBART-Large-Base/resolve/main/special_tokens_map.json
695 Bytes
| { | |
| "bos_token": { | |
| "content": "<BOS>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<EOS>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "mask_token": { | |
| "content": "<MASK>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<PAD>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "<UNK>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |