Feature Extraction
sentence-transformers
Safetensors
Transformers
gemma2
sentence-similarity
mteb
Eval Results (legacy)
Instructions to use BAAI/bge-multilingual-gemma2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use BAAI/bge-multilingual-gemma2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("BAAI/bge-multilingual-gemma2") 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] - Transformers
How to use BAAI/bge-multilingual-gemma2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BAAI/bge-multilingual-gemma2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("BAAI/bge-multilingual-gemma2") model = AutoModel.from_pretrained("BAAI/bge-multilingual-gemma2") - Inference
- Notebooks
- Google Colab
- Kaggle
add AIBOM
#17 opened 11 months ago
by
RiccardoDav
Update config.json
#16 opened over 1 year ago
by
michaelfeil
Could not reproduce the MTEB-Fr retrieval results
👍 2
#15 opened over 1 year ago
by
tulifu
return value for one string
#14 opened over 1 year ago
by
rudykierbel
Update instructions for usage with infinity
#13 opened over 1 year ago
by
michaelfeil
Further fine-tuning for domain adaptation
1
#12 opened over 1 year ago
by
al-h
Create requirements.txt
#11 opened over 1 year ago
by
x-one-poznan
unable to use custom inference endpoint
👍 1
1
#9 opened over 1 year ago
by
HonestAnnie
能否提供jax框架支持
#8 opened over 1 year ago
by
fbs0
2B Model
👍 3
#7 opened almost 2 years ago
by
lemon-mint
在PyTorch 2.1.0的环境中跑样例结果差异过大
#6 opened almost 2 years ago
by
shizue
导入FlagLLMModel报错
1
#5 opened almost 2 years ago
by
Abey0422
FlagEmbedding调用显卡问题
1
#4 opened almost 2 years ago
by
labniz
The speed of obtaining embeddings on CPU/GPU
👍 1
1
#3 opened almost 2 years ago
by
hiauiarau
FlagEmbedding example returns [[nan nan] [nan nan]]
❤️ 1
4
#2 opened almost 2 years ago
by
hcnhcn012