Instructions to use vngrs/VBART-XLarge-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vngrs/VBART-XLarge-Base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vngrs/VBART-XLarge-Base") model = AutoModelForSeq2SeqLM.from_pretrained("vngrs/VBART-XLarge-Base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from vngrs/VBART-XLarge-Base: direct link, hf CLI and curl.
- Browser
- Download file 2.44 MB
-
https://huggingface.co/vngrs/VBART-XLarge-Base/resolve/main/tokenizer.json
- Command line
-
hf download hf://vngrs/VBART-XLarge-Base/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/vngrs/VBART-XLarge-Base/resolve/main/tokenizer.json
2.44 MB
File too large to display, you can check the raw version instead.