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 flax_model.msgpack 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/flax_model.msgpack
- Command line
-
hf download hf://nbroad/mt5-base-qgen/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/nbroad/mt5-base-qgen/resolve/main/flax_model.msgpack
2.33 GB
- Xet hash:
- eb2717c46d3bbfd9683306a6a5467aacc69bc9976f30292c52403e43d061424f
- Size of remote file:
- 2.33 GB
- SHA256:
- c332105d9c3ec5a80a4138a45be2921c7a1bd2e58e8a1ff4f73be305f590f79e
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