Instructions to use nbroad/mt5-small-qgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbroad/mt5-small-qgen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nbroad/mt5-small-qgen") model = AutoModelForSeq2SeqLM.from_pretrained("nbroad/mt5-small-qgen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from nbroad/mt5-small-qgen: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/nbroad/mt5-small-qgen/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://nbroad/mt5-small-qgen/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/nbroad/mt5-small-qgen/resolve/main/flax_model.msgpack
1.2 GB
- Xet hash:
- 8e3b3c29fa211ef7c798a45424718a95d26f7f0f9f9c8fed7a9f06f2536e869b
- Size of remote file:
- 1.2 GB
- SHA256:
- ab90db1fafc2f3211b2a80385a2936f1f0b67f2d1d1f084caf60b68ea9ef804c
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