Instructions to use BAAI/bge-large-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/bge-large-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BAAI/bge-large-zh")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("BAAI/bge-large-zh") model = AutoModel.from_pretrained("BAAI/bge-large-zh") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 140c6b3b99f5accf2b6a0654f5dd6c492d20369733dd13f66d4909163a227527
- Size of remote file:
- 1.3 GB
- SHA256:
- 837df24cd1be597c6a149e3a051019c271dda0c7aa3f358eff74f9dc73c56c47
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