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:
- 4b627ad24dce2ad413ef3839423c4bbd5f308da4606a05e5ceea90633e5b4687
- Size of remote file:
- 17.1 MB
- SHA256:
- 11d385c8cc206ef325f896d49d1904ffe309d6ad4d24caa42d7aec5a0a2d5377
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.