Instructions to use Shiyunee/set-pred with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shiyunee/set-pred with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Shiyunee/set-pred") model = AutoModelForSeq2SeqLM.from_pretrained("Shiyunee/set-pred", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Shiyunee/set-pred: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/Shiyunee/set-pred/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Shiyunee/set-pred/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Shiyunee/set-pred/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 7285fc2ed619dd93badf5686f54eba648490faff466cfa48c1487f8c1d46c1f7
- Size of remote file:
- 558 MB
- SHA256:
- fd83bf81a10752edcd9d162345fa8fa4ce5db85f825b65d29b005b0e980531ab
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