Replace all the "k-mer"s with "k_mer"s
#2
by
GTCtech
- opened
BarcodeMamba-dim384-layer2-k-mer/.hydra/config.yaml
CHANGED
@@ -35,7 +35,7 @@ tokenizer:
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k_mer: 6
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padding: true
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padding_side: left
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name:
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stride: ${.k_mer}
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max_len: ${dataset.max_len}
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vocab_size: ${eval:4 ** ${.k_mer} + 3}
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k_mer: 6
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padding: true
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padding_side: left
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+
name: k_mer
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stride: ${.k_mer}
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max_len: ${dataset.max_len}
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vocab_size: ${eval:4 ** ${.k_mer} + 3}
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BarcodeMamba-dim768-layer6-k-mer/.hydra/config.yaml
CHANGED
@@ -35,7 +35,7 @@ tokenizer:
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k_mer: 6
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padding: true
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padding_side: left
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-
name:
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stride: ${.k_mer}
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max_len: ${dataset.max_len}
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vocab_size: ${eval:4 ** ${.k_mer} + 3}
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k_mer: 6
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padding: true
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padding_side: left
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+
name: k_mer
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stride: ${.k_mer}
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max_len: ${dataset.max_len}
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vocab_size: ${eval:4 ** ${.k_mer} + 3}
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README.md
CHANGED
@@ -15,10 +15,14 @@ The pretrained models can be used for both taxonomic classification on seen spec
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# Citation
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If you find BarcodeMamba useful, please consider citing:
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```
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@inproceedings{
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gao2024barcodemamba,
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title={BarcodeMamba: State Space Models for Biodiversity Analysis},
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author={Tiancheng Gao and Graham W.~Taylor},
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booktitle={{NeurIPS} 2024 Workshop on Foundation Models for Science: Progress, Opportunities, and Challenges},
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-
year={2024},
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# Citation
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If you find BarcodeMamba useful, please consider citing:
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+
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```
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@inproceedings{
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gao2024barcodemamba,
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title={BarcodeMamba: State Space Models for Biodiversity Analysis},
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author={Tiancheng Gao and Graham W.~Taylor},
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booktitle={{NeurIPS} 2024 Workshop on Foundation Models for Science: Progress, Opportunities, and Challenges},
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+
year={2024},
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url={https://openreview.net/forum?id=6ohFEFTr10}
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}
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```
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