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README.md
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---
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dataset_info:
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features:
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- name:
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dtype: int64
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- name: tokenizers
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dtype: int64
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- name: transformers
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dtype: int64
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- name:
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dtype: int64
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- name: gradio
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dtype: int64
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- name: accelerate
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dtype: int64
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- name: huggingface_hub
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dtype: int64
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- name:
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dtype: int64
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- name: optimum
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dtype: int64
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- name: safetensors
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dtype: int64
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- name:
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dtype: int64
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- name:
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dtype: int64
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- name:
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dtype: int64
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- name: pytorch
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dtype: int64
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- name: tensorflow
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dtype: int64
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- name: day
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dtype: string
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splits:
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- name: raw
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num_bytes:
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- name: wow
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num_bytes:
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num_examples:
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download_size:
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dataset_size:
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---
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# Dataset Card for "preprocessed_pip"
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---
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dataset_info:
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features:
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- name: diffusers
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dtype: int64
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- name: transformers
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dtype: int64
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- name: tokenizers
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dtype: int64
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- name: huggingface_hub
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dtype: int64
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- name: peft
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dtype: int64
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- name: optimum
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dtype: int64
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- name: safetensors
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dtype: int64
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- name: accelerate
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dtype: int64
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- name: evaluate
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dtype: int64
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- name: datasets
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dtype: int64
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- name: pytorch_image_models
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dtype: int64
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- name: gradio
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dtype: int64
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- name: pytorch
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dtype: int64
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- name: langchain
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dtype: int64
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- name: tensorflow
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dtype: int64
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- name: day
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dtype: string
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splits:
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- name: raw
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num_bytes: 207650
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num_examples: 1531
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- name: wow
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num_bytes: 29710
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num_examples: 219
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download_size: 122619
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dataset_size: 237360
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---
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# Dataset Card for "preprocessed_pip"
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