Instructions to use learn3r/longt5_xl_sfd_4096_e10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use learn3r/longt5_xl_sfd_4096_e10 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("learn3r/longt5_xl_sfd_4096_e10") model = AutoModelForSeq2SeqLM.from_pretrained("learn3r/longt5_xl_sfd_4096_e10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 722d939ace1f6516a470f292adda4e8228bd929b0705ac98d3102fceee1fa593
- Size of remote file:
- 4.35 kB
- SHA256:
- 65b58e052624bc99e9a5af72a86d473c5f2be0eeefb1974257ae7928ee2f42e5
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