Instructions to use BAAI/bge-small-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/bge-small-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BAAI/bge-small-zh")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("BAAI/bge-small-zh") model = AutoModel.from_pretrained("BAAI/bge-small-zh") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0528f70bf31aa2210e0ea77553ae16877caf0b2efdd77ce4fdd95e18551701f6
- Size of remote file:
- 95.8 MB
- SHA256:
- 5cc750eb4f5412313aba1482e53aeccd1ed0b97bc213f2962e0c80e6c8809319
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