Feature Extraction
Transformers
Safetensors
sentence-transformers
minicpm
mteb
custom_code
Eval Results (legacy)
Instructions to use openbmb/MiniCPM-Embedding-Light with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/MiniCPM-Embedding-Light with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="openbmb/MiniCPM-Embedding-Light", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/MiniCPM-Embedding-Light", trust_remote_code=True, device_map="auto") - sentence-transformers
How to use openbmb/MiniCPM-Embedding-Light with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("openbmb/MiniCPM-Embedding-Light", trust_remote_code=True) sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update config_sentence_transformers.json
Verified signaturequery promptce6cb0e
-
Merge branch 'main' of hf.co:openbmb/MiniCPM-Embedding-Light
8cabb11 -
a
0413b4c -
Update config.json
Verified signatureed7db42
-
citation
91b71e3
-
Update scripts/transformers_demo.py
Verified signature321b9bb -
Update scripts/test_mteb.py
Verified signature1d0117a -
Update scripts/sentence_transformers_demo.py
Verified signature5643d0d -
Update scripts/infinity_demo.py
Verified signatureaafaf12 -
Update scripts/flagembedding_demo.py
Verified signature455038a
-
readme
95ba296
-
typo
a3ab2b19 -
init
175f07f8 -
initial commit
Verified signaturec4424af