Instructions to use junnyu/structbert-large-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junnyu/structbert-large-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="junnyu/structbert-large-zh")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("junnyu/structbert-large-zh") model = AutoModel.from_pretrained("junnyu/structbert-large-zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 951fb7325437d9c7d85a783d888facae31593c59f77f32202550728612c1e250
- Size of remote file:
- 1.3 GB
- SHA256:
- 4ec794e64dbd602513dfd6c1a8f8e29354b0ce4a0aa51b7a21988ffbf2e84587
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