Sentence Similarity
sentence-transformers
Safetensors
Transformers
English
Chinese
qwen2
feature-extraction
mteb
custom_code
Eval Results (legacy)
text-embeddings-inference
Instructions to use infly/inf-retriever-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use infly/inf-retriever-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("infly/inf-retriever-v1", trust_remote_code=True) 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] - Transformers
How to use infly/inf-retriever-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("infly/inf-retriever-v1", trust_remote_code=True) model = AutoModel.from_pretrained("infly/inf-retriever-v1", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Broken on new versions of transformers
1
#4 opened 9 months ago
by
ctranslate2-4you
flash attention not working with model
2
#1 opened about 1 year ago
by
XVII