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KiViDrag
/
pretrain_emotion2

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:16000
loss:DenoisingAutoEncoderLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use KiViDrag/pretrain_emotion2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use KiViDrag/pretrain_emotion2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("KiViDrag/pretrain_emotion2")
    
    sentences = [
        "can so hopeless to who cares",
        "id done that though it kind of did a on me and i found myself sympathizing with the demons as the church called them and feeling more disgusted with the people who were supposed to be trying to fight them off",
        "i can go from feeling so hopeless to so damned hopeful just from being around someone who cares and is awake",
        "i feel quite honored to exhibit my work in portugal especially within the critical and philosophical context of the god factor project said west"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
pretrain_emotion2
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
KiViDrag's picture
KiViDrag
Add new SentenceTransformer model
b2eefc1 verified about 1 year ago
  • 1_Pooling
    Add new SentenceTransformer model about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    13.2 kB
    Add new SentenceTransformer model about 1 year ago
  • config.json
    618 Bytes
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  • config_sentence_transformers.json
    205 Bytes
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  • model.safetensors
    438 MB
    xet
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  • modules.json
    229 Bytes
    Add new SentenceTransformer model about 1 year ago
  • sentence_bert_config.json
    53 Bytes
    Add new SentenceTransformer model about 1 year ago
  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.22 kB
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  • vocab.txt
    232 kB
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