Instructions to use KoichiYasuoka/chinese-roberta-base-upos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoichiYasuoka/chinese-roberta-base-upos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KoichiYasuoka/chinese-roberta-base-upos")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("KoichiYasuoka/chinese-roberta-base-upos") model = AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/chinese-roberta-base-upos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from KoichiYasuoka/chinese-roberta-base-upos: direct link, hf CLI and curl.
- Browser
- Download file 407 MB
-
https://huggingface.co/KoichiYasuoka/chinese-roberta-base-upos/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://KoichiYasuoka/chinese-roberta-base-upos/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/KoichiYasuoka/chinese-roberta-base-upos/resolve/main/pytorch_model.bin
407 MB
- Xet hash:
- 06831c6d432f2bb9ced9ebd20e9f08bb0ebcb033ec10fa2724468757e03cae21
- Size of remote file:
- 407 MB
- SHA256:
- c4cbda4a34a1e03b2b48fe832f6d963436e6dd59e4d72d4db0c0c530fcf62ab4
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