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---
dataset_info:
  features:
  - name: login
    dtype: string
  - name: dates
    dtype: string
  splits:
  - name: transformers
    num_bytes: 4305989
    num_examples: 115410
  - name: peft
    num_bytes: 409392
    num_examples: 11013
  - name: evaluate
    num_bytes: 60067
    num_examples: 1604
  - name: huggingface_hub
    num_bytes: 50037
    num_examples: 1330
  - name: accelerate
    num_bytes: 225143
    num_examples: 6037
  - name: datasets
    num_bytes: 660156
    num_examples: 17582
  - name: optimum
    num_bytes: 65326
    num_examples: 1743
  - name: pytorch_image_models
    num_bytes: 1032652
    num_examples: 27694
  - name: gradio
    num_bytes: 878985
    num_examples: 23632
  - name: tokenizers
    num_bytes: 289704
    num_examples: 7813
  - name: diffusers
    num_bytes: 709894
    num_examples: 19092
  - name: safetensors
    num_bytes: 64926
    num_examples: 1752
  - name: candle
    num_bytes: 374617
    num_examples: 10106
  - name: text_generation_inference
    num_bytes: 222826
    num_examples: 5983
  - name: chat_ui
    num_bytes: 154847
    num_examples: 4167
  - name: hub_docs
    num_bytes: 7344
    num_examples: 196
  download_size: 5776843
  dataset_size: 9511905
configs:
- config_name: default
  data_files:
  - split: peft
    path: data/peft-*
  - split: hub_docs
    path: data/hub_docs-*
  - split: evaluate
    path: data/evaluate-*
  - split: huggingface_hub
    path: data/huggingface_hub-*
  - split: accelerate
    path: data/accelerate-*
  - split: datasets
    path: data/datasets-*
  - split: optimum
    path: data/optimum-*
  - split: pytorch_image_models
    path: data/pytorch_image_models-*
  - split: gradio
    path: data/gradio-*
  - split: tokenizers
    path: data/tokenizers-*
  - split: diffusers
    path: data/diffusers-*
  - split: transformers
    path: data/transformers-*
  - split: safetensors
    path: data/safetensors-*
---
# Dataset Card for "stars"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)