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  ---
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  language:
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  - ja
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- license: mit
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  library_name: transformers
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  tags:
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  - fastText
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  example_title: "ワンピース"
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  ---
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  # fasttext-classification
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- fastText word vector base classifiction
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  ## Reference
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  - fastText </br>
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  https://github.com/facebookresearch/fastText
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  - word vector data </br>
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  https://dl.fbaipublicfiles.com/fasttext/vectors-crawl/cc.ja.300.vec.gz
 
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  ## Usage
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  Google Colaboratory Example
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  ```
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  ```
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  ```
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  p("海賊王におれはなる", candidate_labels=["海","山","陸"], hypothesis_template="{}", multi_label=True)
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- ```
 
 
 
 
 
 
 
 
 
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  ---
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  language:
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  - ja
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+ license: cc-by-sa-3.0
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  library_name: transformers
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  tags:
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  - fastText
 
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  example_title: "ワンピース"
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  ---
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  # fasttext-classification
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+ fastText word vector base classification
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  ## Reference
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  - fastText </br>
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  https://github.com/facebookresearch/fastText
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  - word vector data </br>
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  https://dl.fbaipublicfiles.com/fasttext/vectors-crawl/cc.ja.300.vec.gz
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+
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  ## Usage
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  Google Colaboratory Example
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  ```
 
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  ```
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  ```
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  p("海賊王におれはなる", candidate_labels=["海","山","陸"], hypothesis_template="{}", multi_label=True)
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+ ```
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+
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+ ## License
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+ This model utilizes the folllowing pretrained vectors.
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+
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+ Name: fastText
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+ Credit: https://fasttext.cc/
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+ License: [Creative Commons Attribution-Share-Alike License 3.0](https://creativecommons.org/licenses/by-sa/3.0/)
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+ Link: https://dl.fbaipublicfiles.com/fasttext/vectors-wiki/wiki.ja.vec