Instructions to use google/byt5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/byt5-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/byt5-large") model = AutoModelForSeq2SeqLM.from_pretrained("google/byt5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from google/byt5-large: direct link, hf CLI and curl.
- Browser
- Download file 4.91 GB
-
https://huggingface.co/google/byt5-large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://google/byt5-large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/google/byt5-large/resolve/main/pytorch_model.bin
4.91 GB
- Xet hash:
- 35c2c33954e1aecddbba69807e8ba222cab77e8e1fd3fe654877b40b447d213c
- Size of remote file:
- 4.91 GB
- SHA256:
- 3190d75f7672b51f45aca2296d8c7124bd42fa4f1a9ffdb2d734dcac72622ba5
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