Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

hkunlp
/
instructor-large

Sentence Similarity
sentence-transformers
PyTorch
Transformers
English
t5
text-embedding
embeddings
information-retrieval
beir
text-classification
language-model
text-clustering
text-semantic-similarity
text-evaluation
prompt-retrieval
text-reranking
feature-extraction
English
Sentence Similarity
natural_questions
ms_marco
fever
hotpot_qa
mteb
Eval Results (legacy)
Model card Files Files and versions
xet
Community
31

Instructions to use hkunlp/instructor-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use hkunlp/instructor-large with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("hkunlp/instructor-large")
    
    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 hkunlp/instructor-large with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("hkunlp/instructor-large")
    model = AutoModel.from_pretrained("hkunlp/instructor-large")
  • Notebooks
  • Google Colab
  • Kaggle
instructor-large
1.75 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
multi-train's picture
multi-train
Create 1_Pooling/config.json
cb11a66 over 3 years ago
  • 1_Pooling
    Create 1_Pooling/config.json over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago