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snezhanata
/
index-dev

Feature Extraction
Transformers
Safetensors
index
llama-factory
custom_code
Model card Files Files and versions
xet
Community

Instructions to use snezhanata/index-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use snezhanata/index-dev with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="snezhanata/index-dev", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("snezhanata/index-dev", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
index-dev
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  • 1 contributor
History: 3 commits
snezhanata's picture
snezhanata
Upload tokenizer
5f37497 verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    5.19 kB
    Upload IndexForCausalLM 9 months ago
  • chat_template.jinja
    559 Bytes
    Upload tokenizer 9 months ago
  • config.json
    977 Bytes
    Upload IndexForCausalLM 9 months ago
  • configuration_index.py
    8.8 kB
    Upload IndexForCausalLM 9 months ago
  • generation_config.json
    154 Bytes
    Upload IndexForCausalLM 9 months ago
  • model.safetensors
    4.35 GB
    xet
    Upload IndexForCausalLM 9 months ago
  • modeling_index.py
    46.9 kB
    Upload IndexForCausalLM 9 months ago
  • special_tokens_map.json
    551 Bytes
    Upload tokenizer 9 months ago
  • tokenization_index.py
    10.2 kB
    Upload tokenizer 9 months ago
  • tokenizer.model
    1.01 MB
    xet
    Upload tokenizer 9 months ago
  • tokenizer_config.json
    1.12 kB
    Upload tokenizer 9 months ago