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ontocord
/
1.7b-MixtureVitae-web_curated-100BT-longsft_16k

Feature Extraction
Transformers
Safetensors
opensci
llama-factory
full
Generated from Trainer
custom_code
Model card Files Files and versions
xet
Community

Instructions to use ontocord/1.7b-MixtureVitae-web_curated-100BT-longsft_16k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ontocord/1.7b-MixtureVitae-web_curated-100BT-longsft_16k with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ontocord/1.7b-MixtureVitae-web_curated-100BT-longsft_16k", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ontocord/1.7b-MixtureVitae-web_curated-100BT-longsft_16k", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
1.7b-MixtureVitae-web_curated-100BT-longsft_16k
3.43 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
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Harsh1729
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  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
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  • config.json
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  • configuration_opensci.py
    11.2 kB
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  • generation_config.json
    133 Bytes
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  • model.safetensors
    3.43 GB
    xet
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  • modeling_opensci.py
    44.8 kB
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  • special_tokens_map.json
    473 Bytes
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  • tokenizer.json
    3.56 MB
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  • tokenizer_config.json
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