Instructions to use google/byt5-xxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/byt5-xxl with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/byt5-xxl") model = AutoModelForSeq2SeqLM.from_pretrained("google/byt5-xxl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from google/byt5-xxl: direct link, hf CLI and curl.
- Browser
- Download file 51.6 GB
-
https://huggingface.co/google/byt5-xxl/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://google/byt5-xxl/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/google/byt5-xxl/resolve/main/pytorch_model.bin
51.6 GB
- Xet hash:
- 93dbfd752397c659643c3b15ad24469d5c6e89a0c76ea6b905abc99023e74441
- Size of remote file:
- 51.6 GB
- SHA256:
- e01280e11c367dafd629d5fb335683b6cafd34dd7349ccd27ebf1cbd8dd0b3a2
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