Instructions to use learn3r/longt5_xl_sfd_memsum_40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use learn3r/longt5_xl_sfd_memsum_40 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("learn3r/longt5_xl_sfd_memsum_40") model = AutoModelForSeq2SeqLM.from_pretrained("learn3r/longt5_xl_sfd_memsum_40", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 655dd05e4c1b39f0418b0b5137f093a8dd94553e01e622d8f384be3097ddabf2
- Size of remote file:
- 5.18 kB
- SHA256:
- a95167f027588dc6bc9c24f4f7e00fc2694662b40ce0432f305a8389ad7d17cd
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