Feature Extraction
sentence-transformers
Safetensors
Transformers
mistral
sentence-similarity
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use BAAI/bge-en-icl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use BAAI/bge-en-icl with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("BAAI/bge-en-icl") 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-en-icl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BAAI/bge-en-icl")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("BAAI/bge-en-icl") model = AutoModel.from_pretrained("BAAI/bge-en-icl") - Notebooks
- Google Colab
- Kaggle
Source of training queries of BGE-EN-ICL
#13 opened about 1 year ago
by
ftvalentini
Gguf?
#12 opened over 1 year ago
by
AlgorithmicKing
Infinity usage
3
#9 opened over 1 year ago
by
michaelfeil
inference speed
#7 opened over 1 year ago
by
nilx21
Distill loss in retrieval task?
1
#6 opened over 1 year ago
by
YWang17
Upload STFH20240806000501013001.pdf.txt
#5 opened over 1 year ago
by
diaoxingye
Code to reproduce MTEB results
6
#4 opened almost 2 years ago
by
bschifferer2026
请问现在支持微调吗?
4
#3 opened almost 2 years ago
by
dhajshdkajs
Recommendations to for quantization?
1
#2 opened almost 2 years ago
by deleted
About model_max_length
4
#1 opened almost 2 years ago
by
hongwen11