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  1. README.md +3 -3
  2. config.json +2 -2
  3. pytorch_model.bin +2 -2
  4. tf_model.h5 +2 -2
  5. vocab.txt +0 -0
README.md CHANGED
@@ -6,7 +6,7 @@ datasets: wikipedia
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  license: apache-2.0
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  ---
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- # bert-base-en-el-ru-cased
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  We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
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@@ -20,8 +20,8 @@ For more information please visit our paper: [Load What You Need: Smaller Versio
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  ```python
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  from transformers import AutoTokenizer, AutoModel
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- tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-el-ru-cased")
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- model = AutoModel.from_pretrained("Geotrend/bert-base-en-el-ru-cased")
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  ```
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  license: apache-2.0
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  ---
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+ # bert-base-en-da-cased
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  We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
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  ```python
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  from transformers import AutoTokenizer, AutoModel
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+ tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-da-cased")
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+ model = AutoModel.from_pretrained("Geotrend/bert-base-en-da-cased")
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  ```
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config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "new-models/bert-base-en-el-ru-cased",
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  "architectures": [
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  "BertForMaskedLM"
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  ],
@@ -24,5 +24,5 @@
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  "pooler_type": "first_token_transform",
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  "position_embedding_type": "absolute",
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  "type_vocab_size": 2,
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- "vocab_size": 39174
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  }
 
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  {
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+ "_name_or_path": "new-models/bert-base-en-da-cased",
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  "architectures": [
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  "BertForMaskedLM"
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  ],
 
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  "pooler_type": "first_token_transform",
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  "position_embedding_type": "absolute",
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  "type_vocab_size": 2,
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+ "vocab_size": 32731
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  }
pytorch_model.bin CHANGED
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vocab.txt CHANGED
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