Instructions to use sihaochen/SegmenT5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sihaochen/SegmenT5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sihaochen/SegmenT5-large") model = AutoModelForSeq2SeqLM.from_pretrained("sihaochen/SegmenT5-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 901c5135db1a4571a8b5556b057002053ff50efdfbe98da19b4ff2f2f1143643
- Size of remote file:
- 3.08 GB
- SHA256:
- 955d60dd0fbb971750e11a247bad18f02b3be8ba709211b2e19bcb59987bd2f9
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