Instructions to use google/long-t5-local-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/long-t5-local-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/long-t5-local-base") model = AutoModelForSeq2SeqLM.from_pretrained("google/long-t5-local-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ec0af507bc0d67d224c8122e54321daa4e9f6f695d066a0547c448cbc96f9f2
- Size of remote file:
- 892 MB
- SHA256:
- f05a759d366d0994af34f8c9be6d1023a917a9290fcc4a42e3d155e0f92ceca8
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