Instructions to use ShengdingHu/adapter_t5-base_stsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/adapter_t5-base_stsb with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShengdingHu/adapter_t5-base_stsb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ShengdingHu/adapter_t5-base_stsb: direct link, hf CLI and curl.
- Browser
- Download file 7.55 MB
-
https://huggingface.co/ShengdingHu/adapter_t5-base_stsb/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ShengdingHu/adapter_t5-base_stsb/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ShengdingHu/adapter_t5-base_stsb/resolve/main/pytorch_model.bin
7.55 MB
- Xet hash:
- 0ca93a82f75a7c8f8d586e600921ab949ed96e653aff6f23d1ac40226866ca32
- Size of remote file:
- 7.55 MB
- SHA256:
- 30ffff22278cecbded90bd0f48da74d0068e090ba699b2ac9bc04e83d93ab561
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.