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@@ -53,19 +53,11 @@ Read our [blog post](https://zenn.dev/kotoba_tech/articles/f15b2495d44c4f) or ou
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  ## Usage
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- First, install additional dependencies in [requirements.txt](./requirements.txt):
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-
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- ```sh
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- pip install -r requirements.txt
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- ```
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-
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- ### Use the base model
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-
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  git clone [https://github.com/kotoba-tech/kotomamba](https://github.com/kotoba-tech/kotomamba) and follow the repository's README installation section.
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- **WARNING**: huggingface transformers `AutoModelForCausalLM` **doesn't support** mamba model. So, please use `kotomamba/benchmarks/benchmark_generation_mamba_simple.py`
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- You can find the inference sample script in `scripts/abci/inference/inference_sample.sh`
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  ## Training Datasets
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  ## Usage
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  git clone [https://github.com/kotoba-tech/kotomamba](https://github.com/kotoba-tech/kotomamba) and follow the repository's README installation section.
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+ **WARNING**: huggingface transformers `AutoModelForCausalLM` **doesn't support** mamba model. So, please use [kotomamba/benchmarks/benchmark_generation_mamba_simple.py](https://github.com/kotoba-tech/kotomamba/blob/main/benchmarks/benchmark_generation_mamba_simple.py)
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+ You can find the inference sample script in [scripts/abci/inference/inference_sample.sh](https://github.com/kotoba-tech/kotomamba/blob/main/scripts/abci/inference/inference_sample.sh)
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  ## Training Datasets
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