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anhdao69
/
SimpleMemVLN-R2R-FullContext-B

Transformers
vision-language-navigation
r2r
simplememvln
Model card Files Files and versions
xet
Community

Instructions to use anhdao69/SimpleMemVLN-R2R-FullContext-B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use anhdao69/SimpleMemVLN-R2R-FullContext-B with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("anhdao69/SimpleMemVLN-R2R-FullContext-B", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SimpleMemVLN-R2R-FullContext-B
31.1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
anhdao69's picture
anhdao69
Publish three verified R2R fullcontext epoch snapshots
73d866c verified about 20 hours ago
  • epoch-1
    Publish three verified R2R fullcontext epoch snapshots about 20 hours ago
  • epoch-2
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  • epoch-3
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  • .gitattributes
    1.7 kB
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  • README.md
    2.19 kB
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  • SHA256SUMS.json
    2.83 kB
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  • resolved_config.json
    1.51 kB
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  • run_timing.json
    227 Bytes
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  • smoke_summary.json
    5.43 MB
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  • train_results.json
    189 Bytes
    Publish three verified R2R fullcontext epoch snapshots about 20 hours ago