# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("PhilipGAQ/BGE_M3_Mindspore")
model = AutoModel.from_pretrained("PhilipGAQ/BGE_M3_Mindspore", device_map="auto")Quick Links
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Check out the documentation for more information.
Mindspore version of bge-m3 self implemented non-offical version
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="PhilipGAQ/BGE_M3_Mindspore")