Instructions to use google/mt5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/mt5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/mt5-large") model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from google/mt5-large: direct link, hf CLI and curl.
- Browser
- Download file 4.92 GB
-
https://huggingface.co/google/mt5-large/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://google/mt5-large/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/google/mt5-large/resolve/main/flax_model.msgpack
4.92 GB
- Xet hash:
- 1547961ab6a847d8aafe88c357cae51161c558ee91a1611a6a1af9081346e705
- Size of remote file:
- 4.92 GB
- SHA256:
- ab535d2ec429eef90ac9b827929acf24f4bde0ce0bebf92c206779af3b452877
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