Instructions to use Zichuu/spert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zichuu/spert with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, SpERT tokenizer = AutoTokenizer.from_pretrained("Zichuu/spert") model = SpERT.from_pretrained("Zichuu/spert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Zichuu/spert: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/Zichuu/spert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Zichuu/spert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Zichuu/spert/resolve/main/pytorch_model.bin
433 MB
- Xet hash:
- b3da71300369f7ef1fc0db530be1f43f00d915773f7cf018a726f98ce24e08f1
- Size of remote file:
- 433 MB
- SHA256:
- 4ea3aa681f83d301c8dd3a546f731ccb48f547934403daf76ee19bc5c217498c
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