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khopilot
/
khmer-tokenizer-v7

Feature Extraction
Transformers
Khmer
khmer
tokenization
graph-regularization
sentencepiece
nlp
semantic-embeddings
Model card Files Files and versions
xet
Community

Instructions to use khopilot/khmer-tokenizer-v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use khopilot/khmer-tokenizer-v7 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="khopilot/khmer-tokenizer-v7")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("khopilot/khmer-tokenizer-v7", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
khmer-tokenizer-v7
Ctrl+K
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  • 1 contributor
History: 29 commits
khopilot's picture
khopilot
Upload CHANGELOG.md with huggingface_hub
7f966f9 verified 8 months ago
  • CHANGELOG.md
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  • CITATION.cff
    757 Bytes
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  • README.md
    7.03 kB
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  • edges_pruned.tsv
    126 kB
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  • lexeme_embeddings.pt

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    38.9 MB
    xet
    Upload lexeme_embeddings.pt with huggingface_hub 8 months ago
  • lexeme_subwords_prod8k_v22.tsv
    688 kB
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  • metrics_corrected.yaml
    5.86 kB
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  • nodes.tsv
    950 kB
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  • spm_km_8k_prod.model
    164 kB
    xet
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  • spm_km_8k_prod.vocab
    169 kB
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  • tokenizer_config.json
    410 Bytes
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