Instructions to use skypro1111/mbart-large-50-verbalization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skypro1111/mbart-large-50-verbalization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("skypro1111/mbart-large-50-verbalization") model = AutoModelForSeq2SeqLM.from_pretrained("skypro1111/mbart-large-50-verbalization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4da6e48e293464059b08a41e67b6a6c01456fa6a9a8536d01edf3da5dcc768f0
- Size of remote file:
- 17.1 MB
- SHA256:
- 63924c2f692925a219c90fb2b4fda680ed67438478fdc7eca8e45087f6f10be8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.