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huynhtin
/
C-MoELM

sentence-transformers
Safetensors
Vietnamese
contrastive-learning
mixture-of-experts
natural-language-inference
fact-checking
qlora
8-bit precision
Model card Files Files and versions
xet
Community

Instructions to use huynhtin/C-MoELM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use huynhtin/C-MoELM with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("huynhtin/C-MoELM")
    
    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]
  • Notebooks
  • Google Colab
  • Kaggle
C-MoELM
5.43 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
huynhtin's picture
huynhtin
Add README
5e95a4e verified 18 days ago
  • .gitattributes
    1.57 kB
    Upload tokenizer.json 18 days ago
  • README.md
    2.39 kB
    Add README 18 days ago
  • chat_template.jinja
    4.17 kB
    Upload chat_template.jinja 18 days ago
  • cmoe_config.json
    3.22 kB
    Upload cmoe_config.json 18 days ago
  • model.safetensors
    5.42 GB
    xet
    Upload model.safetensors 18 days ago
  • tokenizer.json
    11.4 MB
    xet
    Upload tokenizer.json 18 days ago
  • tokenizer_config.json
    665 Bytes
    Upload tokenizer_config.json 18 days ago