Instructions to use blmoistawinde/roformer-sim-ft-base-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use blmoistawinde/roformer-sim-ft-base-chinese with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RoFormerModelWithPooler tokenizer = AutoTokenizer.from_pretrained("blmoistawinde/roformer-sim-ft-base-chinese") model = RoFormerModelWithPooler.from_pretrained("blmoistawinde/roformer-sim-ft-base-chinese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from blmoistawinde/roformer-sim-ft-base-chinese: direct link, hf CLI and curl.
- Browser
- Download file 419 MB
-
https://huggingface.co/blmoistawinde/roformer-sim-ft-base-chinese/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://blmoistawinde/roformer-sim-ft-base-chinese/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/blmoistawinde/roformer-sim-ft-base-chinese/resolve/main/pytorch_model.bin
419 MB
- Xet hash:
- 58a41f3b075e2f6e3da75046f0833b9d0ce79b68d738a3381aa0cb33b6ae0c61
- Size of remote file:
- 419 MB
- SHA256:
- 635ff7e11f0cc2741bbd4233e25f25ac1db548bd63b048f56b7cb989b772da76
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