Instructions to use Jun421/MVP-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jun421/MVP-3b with Transformers:
# Load model directly from transformers import AutoTokenizer, FiDT5 tokenizer = AutoTokenizer.from_pretrained("Jun421/MVP-3b") model = FiDT5.from_pretrained("Jun421/MVP-3b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6dc0cc989c1d9fcdbfb18cc0f8cb9141382632db9a0e410c88131c3613bc625
- Size of remote file:
- 5.7 GB
- SHA256:
- 4d02c660e8c88419094f7e25f3f7911cf6d3217d3d9c70bd8ca64d5b19818b5b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.