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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, FiDT5 tokenizer = AutoTokenizer.from_pretrained("Jun421/MVP-3b") model = FiDT5.from_pretrained("Jun421/MVP-3b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Jun421/MVP-3b: direct link, hf CLI and curl.
- Browser
- Download file 5.7 GB
-
https://huggingface.co/Jun421/MVP-3b/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Jun421/MVP-3b/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Jun421/MVP-3b/resolve/main/pytorch_model.bin
5.7 GB
- Xet hash:
- a6dc0cc989c1d9fcdbfb18cc0f8cb9141382632db9a0e410c88131c3613bc625
- Size of remote file:
- 5.7 GB
- SHA256:
- 4d02c660e8c88419094f7e25f3f7911cf6d3217d3d9c70bd8ca64d5b19818b5b
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