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hku-nlp
/
instructor-base

Sentence Similarity
sentence-transformers
PyTorch
Transformers
English
t5
feature-extraction
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • sentence-transformers

    How to use hku-nlp/instructor-base with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("hku-nlp/instructor-base")
    
    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 hku-nlp/instructor-base with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("hku-nlp/instructor-base")
    model = AutoModel.from_pretrained("hku-nlp/instructor-base")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#3 opened about 2 years ago by
SFconvertbot

__init__() got an unexpected keyword argument 'pooling_mode_weightedmean_tokens'

2
#2 opened about 3 years ago by
p4rsimony

Duplicate repos?

👍 2
#1 opened over 3 years ago by
nbroad
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