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 tf_model.h5 from google/byt5-base: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/google/byt5-base/resolve/main/tf_model.h5
- Command line
-
hf download hf://google/byt5-base/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/google/byt5-base/resolve/main/tf_model.h5
2.33 GB
- Xet hash:
- ae2bec868d17b7cc56a8d50690cdfaddf717368e95d374d6daf0025030feb2ff
- Size of remote file:
- 2.33 GB
- SHA256:
- 1360a49cec34d11677e8bffd0ddc785cde66e354d6ed858ae75fafe3cc4af1be
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