Instructions to use google/byt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/byt5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/byt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("google/byt5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from google/byt5-base: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/google/byt5-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://google/byt5-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/google/byt5-base/resolve/main/pytorch_model.bin
2.33 GB
- Xet hash:
- 7a412cc25e731d686835582888362b324f313a926cf4747929daa7fc1fde522b
- Size of remote file:
- 2.33 GB
- SHA256:
- 268bdbac27c1fdb14abc20774c765f3a6fc15e6c3e67f6811f0dc8183a23bbd6
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