Instructions to use GermanT5/t5-base-german-3e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GermanT5/t5-base-german-3e with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("GermanT5/t5-base-german-3e") model = AutoModelForSeq2SeqLM.from_pretrained("GermanT5/t5-base-german-3e", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from GermanT5/t5-base-german-3e: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/GermanT5/t5-base-german-3e/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://GermanT5/t5-base-german-3e/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/GermanT5/t5-base-german-3e/resolve/main/flax_model.msgpack
990 MB
- Xet hash:
- 05d01b5ef26cb80538a04969223be8ccf648dbd311e944db80df264e42966a17
- Size of remote file:
- 990 MB
- SHA256:
- 46be85c37c49e7e56b173b0dc02e79267938c07acb207190650ba46a4cf3d418
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