Instructions to use Jun421/MVP-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jun421/MVP-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, FiDT5 tokenizer = AutoTokenizer.from_pretrained("Jun421/MVP-base") model = FiDT5.from_pretrained("Jun421/MVP-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
|
Download README.md from Jun421/MVP-base: direct link, hf CLI and curl.
- Browser
- Download file 81 Bytes
-
https://huggingface.co/Jun421/MVP-base/resolve/main/README.md
- Command line
-
hf download hf://Jun421/MVP-base/README.md
-
curl -L -o README.md https://huggingface.co/Jun421/MVP-base/resolve/main/README.md
81 Bytes
metadata
license: apache-2.0
pipeline_tag: text-ranking
library_name: transformers