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llm-jp-modernbert-base

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modernbert
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@@ -29,7 +29,7 @@ Using AutoModelForMaskedLM:
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  ```python
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  from transformers import AutoTokenizer, AutoModelForMaskedLM
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- model_id = "llm-jp/llm-jp-modernbert-base-v4-ja-stage2-200k"
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  tokenizer = AutoTokenizer.from_pretrained(model_id)
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  model = AutoModelForMaskedLM.from_pretrained(model_id)
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@@ -84,7 +84,7 @@ Evaluation code can be found at https://github.com/speed1313/bert-eval
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  | tohoku-nlp/bert-base-japanese-v3 | 0.920 | 0.912 | 0.880 | 0.904 |
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  | sbintuitions/modernbert-ja-130m | 0.916 | 0.927 | 0.868 | 0.904 |
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  | sbintuitions/modernbert-ja-310m | **0.932** | **0.933** | **0.883** | **0.916** |
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- | **speed/llm-jp-modernbert-base-v4-ja-stage2-200k** | 0.918 | 0.913 | 0.844 | 0.892 |
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  ## LICENSE
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  ```python
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  from transformers import AutoTokenizer, AutoModelForMaskedLM
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+ model_id = "llm-jp/llm-jp-modernbert-base"
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  tokenizer = AutoTokenizer.from_pretrained(model_id)
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  model = AutoModelForMaskedLM.from_pretrained(model_id)
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  | tohoku-nlp/bert-base-japanese-v3 | 0.920 | 0.912 | 0.880 | 0.904 |
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  | sbintuitions/modernbert-ja-130m | 0.916 | 0.927 | 0.868 | 0.904 |
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  | sbintuitions/modernbert-ja-310m | **0.932** | **0.933** | **0.883** | **0.916** |
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+ | **speed/llm-jp-modernbert-base** | 0.918 | 0.913 | 0.844 | 0.892 |
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  ## LICENSE
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