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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sihaochen/SegmenT5-large") model = AutoModelForSeq2SeqLM.from_pretrained("sihaochen/SegmenT5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sihaochen/SegmenT5-large: direct link, hf CLI and curl.
- Browser
- Download file 3.08 GB
-
https://huggingface.co/sihaochen/SegmenT5-large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sihaochen/SegmenT5-large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sihaochen/SegmenT5-large/resolve/main/pytorch_model.bin
3.08 GB
- Xet hash:
- 901c5135db1a4571a8b5556b057002053ff50efdfbe98da19b4ff2f2f1143643
- Size of remote file:
- 3.08 GB
- SHA256:
- 955d60dd0fbb971750e11a247bad18f02b3be8ba709211b2e19bcb59987bd2f9
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