Instructions to use google/long-t5-tglobal-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/long-t5-tglobal-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/long-t5-tglobal-base") model = AutoModelForSeq2SeqLM.from_pretrained("google/long-t5-tglobal-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from google/long-t5-tglobal-base: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/google/long-t5-tglobal-base/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://google/long-t5-tglobal-base/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/google/long-t5-tglobal-base/resolve/main/flax_model.msgpack
990 MB
- Xet hash:
- 7417ec75503c380b26a7a22a930e1fca12a8e49cf0b0045bb2111e02a7332695
- Size of remote file:
- 990 MB
- SHA256:
- 5449ea8bf9a5083a89db86d4ced0e95a7838b65aa803d685dabfa0270e7005ac
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