Instructions to use BAAI/bge-large-zh-noinstruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/bge-large-zh-noinstruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BAAI/bge-large-zh-noinstruct")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("BAAI/bge-large-zh-noinstruct") model = AutoModel.from_pretrained("BAAI/bge-large-zh-noinstruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 576f8c110ecc6cdcbeb91be1ac00b8d1b4a3e850789e2c667f254eabf40ece26
- Size of remote file:
- 1.3 GB
- SHA256:
- 45c1b609ec1916ec1ec8fb5ac29ce539508f90724320d9c641369408ed2971fa
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