Instructions to use google/long-t5-local-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/long-t5-local-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/long-t5-local-large") model = AutoModelForSeq2SeqLM.from_pretrained("google/long-t5-local-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0442df4e1dba7448a651ed66c472c6d9cf3d72e5dcf5c472fa12412402242ee
- Size of remote file:
- 3 GB
- SHA256:
- d1647ca6a496a991b7ad938e9fdde7bef13cd7779eae6e84f3bbf4c0c92daea5
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