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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download sentence_bert_config.json from BAAI/bge-large-zh: direct link, hf CLI and curl.
- Browser
- Download file 52 Bytes
-
https://huggingface.co/BAAI/bge-large-zh/resolve/main/sentence_bert_config.json
- Command line
-
hf download hf://BAAI/bge-large-zh/sentence_bert_config.json
-
curl -L -o sentence_bert_config.json https://huggingface.co/BAAI/bge-large-zh/resolve/main/sentence_bert_config.json
52 Bytes
| { | |
| "max_seq_length": 512, | |
| "do_lower_case": true | |
| } |