Instructions to use BAAI/bge-base-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/bge-base-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BAAI/bge-base-zh")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("BAAI/bge-base-zh") model = AutoModel.from_pretrained("BAAI/bge-base-zh", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eda394f87e1b44b6efd11b18ea10970c32bc8596c2b371f64257f785f05e9de9
- Size of remote file:
- 409 MB
- SHA256:
- 0a6f7fbaf3027936898e5f8532a1ee6d623568592f8b02635868f21613dbf30d
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