Instructions to use BAAI/bge-m3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use BAAI/bge-m3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("BAAI/bge-m3") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Inference
- Notebooks
- Google Colab
- Kaggle
๐ Documentation Enhancement Suggestion
๐ Documentation Enhancement Suggestion
This observation was generated by Crovia โ the AI transparency observation layer.
Crovia does not accuse or judge. It observes publicly available information and suggests improvements.
๐ Quick Stats
| Metric | Value |
|---|---|
| Source | huggingface |
| Downloads | 11045780 |
| Likes | 2713 |
| Last Updated | 2026-02-08 |
๐ป Ready-to-Use Code
from transformers import AutoModel, AutoTokenizer
model_id = "BAAI/bge-m3"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModel.from_pretrained(model_id)
# Example usage
inputs = tokenizer("Hello, world!", return_tensors="pt")
outputs = model(**inputs)
๐ Citation
If you use this model, please cite:
@misc {BAAI_bge_m3_2026,
author = {BAAI},
title = {BAAI/bge-m3},
year = {2026},
url = {https://huggingface.co/BAAI/bge-m3},
note = {Accessed via CROVIA transparency registry}
}
โ๏ธ EU AI Act Compliance Checklist
- Training data disclosed
- License clearly stated
- Intended use documented
- Model limitations documented
- Technical specifications provided
- Contact information available
๐ Training Data Transparency
Training Data Status: Documentation not found
No training data section was observed in the public model card.
This is an observation, not an accusation. Many valid reasons exist for this status.
If you'd like to improve documentation, consider adding:
- Dataset names and versions used
- Data collection methodology
- Preprocessing steps applied
- Known limitations
This may help users understand your model better and prepare for upcoming transparency requirements (e.g., EU AI Act).
Enhancement generated by CROVIA ยท Package ID: bdc5563e0fd6
Generated at: 2026-02-08T12:00:46.060335Z
This suggestion was generated by Crovia โ the AI transparency observation layer.
Crovia does not accuse or judge. It observes publicly available information and suggests documentation improvements.
If this suggestion is helpful, consider adding the recommended sections to your model card.
If not applicable, feel free to close this discussion.
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