Instructions to use BAAI/bge-m3-retromae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/bge-m3-retromae with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BAAI/bge-m3-retromae")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BAAI/bge-m3-retromae") model = AutoModelForMaskedLM.from_pretrained("BAAI/bge-m3-retromae", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download imgs/nqa.jpg from BAAI/bge-m3-retromae: direct link, hf CLI and curl.
- Browser
- Download file 97.4 kB
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https://huggingface.co/BAAI/bge-m3-retromae/resolve/main/imgs/nqa.jpg
- Command line
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hf download hf://BAAI/bge-m3-retromae/imgs/nqa.jpg
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curl -L -o nqa.jpg https://huggingface.co/BAAI/bge-m3-retromae/resolve/main/imgs/nqa.jpg
97.4 kB
