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") - Inference
- Notebooks
- Google Colab
- Kaggle
模型有几个输出?
#7
by Jeromeblue - opened
用transformer bert进行forward时,报错提示预期有两个输出,但只得到一个。
start_logits, end_logits = logits.split(1, dim=-1)
ValueError: not enough values to unpack (expected 2, got 1)