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sarthak1
/
codemalt

Feature Extraction
Safetensors
Model2Vec
sentence-transformers
code
distiller
code-search
code-embeddings
distillation
static-embeddings
tokenlearn
Model card Files Files and versions
xet
Community

Instructions to use sarthak1/codemalt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Model2Vec

    How to use sarthak1/codemalt with Model2Vec:

    from model2vec import StaticModel
    
    model = StaticModel.from_pretrained("sarthak1/codemalt")
  • sentence-transformers

    How to use sarthak1/codemalt with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("sarthak1/codemalt")
    
    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
codemalt / src /distiller
429 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 18 commits
Sarthak
chore: update README and REPORT with performance insights and dataset changes
0dbb356 12 months ago
  • model2vec
    chore: moved model2vec as in internal package 12 months ago
  • tokenlearn
    chore: moved tokenlearn as in internal package 12 months ago
  • __init__.py
    1.59 kB
    chore(distiller): remove unused GPU_NAME variable 12 months ago
  • __main__.py
    3.95 kB
    chore: update README and REPORT with performance insights and dataset changes 12 months ago
  • analyze.py
    69 kB
    chore: update dependencies and configuration for improved training 12 months ago
  • beam_utils.py
    37.9 kB
    refactor(beam-utils): use direct file operations for beam volumes 12 months ago
  • config.py
    14.4 kB
    chore: update README and REPORT with performance insights and dataset changes 12 months ago
  • dataset.py
    21.6 kB
    chore: update dependencies and configuration for improved training 12 months ago
  • distill.py
    73.4 kB
    chore: update README and REPORT with performance insights and dataset changes 12 months ago
  • evaluate.py
    51.4 kB
    chore: remove unused scripts and update dependencies 12 months ago
  • utils.py
    11.8 kB
    feat: overhaul distiller package with unified CLI, enhanced evaluation, and modular structure 12 months ago