Instructions to use nbroad/mt5-base-qgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbroad/mt5-base-qgen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nbroad/mt5-base-qgen") model = AutoModelForSeq2SeqLM.from_pretrained("nbroad/mt5-base-qgen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nbroad/mt5-base-qgen: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/nbroad/mt5-base-qgen/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nbroad/mt5-base-qgen/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nbroad/mt5-base-qgen/resolve/main/pytorch_model.bin
2.33 GB
- Xet hash:
- ce7b7da735e523b834eca81f8a528c784c6ff416866c4fefaa8f24c585b5f576
- Size of remote file:
- 2.33 GB
- SHA256:
- d71deb4cb79376236c41ea2dece44bbf2fe30dc9850f2fca298e146767185682
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