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Alverciito
/
wikipedia_segmentation

Sentence Similarity
Transformers
Safetensors
sentence_cosenet
feature-extraction
sentence-embeddings
information-retrieval
semantic-search
custom_code
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Alverciito/wikipedia_segmentation with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Alverciito/wikipedia_segmentation", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wikipedia_segmentation
288 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 53 commits
alverciito
zero-shot benchmark
edbcb21 4 months ago
  • research_files
    zero-shot benchmark 4 months ago
  • src
    fix positional encoding error 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    6.73 kB
    add zero shot experiment and similarity method 4 months ago
  • __init__.py
    618 Bytes
    add model.py for deployment test 4 months ago
  • config.json
    457 Bytes
    add model.py for deployment test 4 months ago
  • model.py
    10.9 kB
    fix docstrings 4 months ago
  • model.safetensors
    44.5 MB
    xet
    upload wrapped model.safetensors 4 months ago
  • requirements.txt
    272 Bytes
    upload safetensors and refactor research files 4 months ago
  • special_tokens_map.json
    125 Bytes
    upload safetensors and refactor research files 4 months ago
  • tokenizer.json
    1.97 MB
    upload safetensors and refactor research files 4 months ago
  • tokenizer_config.json
    1.17 kB
    upload safetensors and refactor research files 4 months ago