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Browse files- config.json +14 -0
- model.txt +3 -0
- sample_input.json +0 -0
config.json
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```json
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{
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"model_type": "embedding",
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"library_name": "gensim",
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"pipeline_tag": "text-classification",
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"tags": [
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"nlp",
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"word2vec",
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"streamlit",
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"codenames",
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"game",
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"strategy"
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]
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}
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model.txt
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model internetten yüklenir.
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import gensim.downloader as api
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model = api.load("word2vec-google-news-300")
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sample_input.json
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