Instructions to use PhilipGAQ/BGE_M3_Mindspore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PhilipGAQ/BGE_M3_Mindspore with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="PhilipGAQ/BGE_M3_Mindspore")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("PhilipGAQ/BGE_M3_Mindspore") model = AutoModel.from_pretrained("PhilipGAQ/BGE_M3_Mindspore") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Mindspore version of bge-m3 self implemented non-offical version
- Downloads last month
- 6