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.gitattributes

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README.md

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----
-license: apache-2.0
-pretty_name: evaluate metrics
-tags:
-- github-stars
----
-
-# evaluate metrics
-
-This dataset contains metrics about the huggingface/evaluate package.
-
-Number of repositories in the dataset: 106
-Number of packages in the dataset: 3
-
-## Package dependents
-
-This contains the data available in the [used-by](https://github.com/huggingface/evaluate/network/dependents)
-tab on GitHub.
-
-### Package & Repository star count
-
-This section shows the package and repository star count, individually. 
-
-
-Package             |  Repository
-:-------------------------:|:-------------------------:
-![evaluate-dependent package star count](./evaluate-dependents/resolve/main/evaluate-dependent_package_star_count.png)  |  ![evaluate-dependent repository star count](./evaluate-dependents/resolve/main/evaluate-dependent_repository_star_count.png)
-
-There are 1 packages that have more than 1000 stars.
-
-There are 2 repositories that have more than 1000 stars.
-
-
-The top 10 in each category are the following:
-
-*Package*
-
-[huggingface/accelerate](https://github.com/huggingface/accelerate): 2884
-
-[fcakyon/video-transformers](https://github.com/fcakyon/video-transformers): 4
-
-[entelecheia/ekorpkit](https://github.com/entelecheia/ekorpkit): 2
-
-*Repository*
-
-[huggingface/transformers](https://github.com/huggingface/transformers): 70481
-
-[huggingface/accelerate](https://github.com/huggingface/accelerate): 2884
-
-[huggingface/evaluate](https://github.com/huggingface/evaluate): 878
-
-[pytorch/benchmark](https://github.com/pytorch/benchmark): 406
-
-[imhuay/studies](https://github.com/imhuay/studies): 161
-
-[AIRC-KETI/ke-t5](https://github.com/AIRC-KETI/ke-t5): 128
-
-[Jaseci-Labs/jaseci](https://github.com/Jaseci-Labs/jaseci): 32
-
-[philschmid/optimum-static-quantization](https://github.com/philschmid/optimum-static-quantization): 20
-
-[hms-dbmi/scw](https://github.com/hms-dbmi/scw): 19
-
-[philschmid/optimum-transformers-optimizations](https://github.com/philschmid/optimum-transformers-optimizations): 15
-
-[girafe-ai/msai-python](https://github.com/girafe-ai/msai-python): 15
-
-[lewtun/dl4phys](https://github.com/lewtun/dl4phys): 15
-
-
-### Package & Repository fork count
-
-This section shows the package and repository fork count, individually. 
-
-Package             |  Repository
-:-------------------------:|:-------------------------:
-![evaluate-dependent package forks count](./evaluate-dependents/resolve/main/evaluate-dependent_package_forks_count.png)  |  ![evaluate-dependent repository forks count](./evaluate-dependents/resolve/main/evaluate-dependent_repository_forks_count.png)
-
-There are 1 packages that have more than 200 forks.
-
-There are 2 repositories that have more than 200 forks.
-
-
-The top 10 in each category are the following:
-
-*Package*
-
-[huggingface/accelerate](https://github.com/huggingface/accelerate): 224
-
-[fcakyon/video-transformers](https://github.com/fcakyon/video-transformers): 0
-
-[entelecheia/ekorpkit](https://github.com/entelecheia/ekorpkit): 0
-
-*Repository*
-
-[huggingface/transformers](https://github.com/huggingface/transformers): 16157
-
-[huggingface/accelerate](https://github.com/huggingface/accelerate): 224
-
-[pytorch/benchmark](https://github.com/pytorch/benchmark): 131
-
-[Jaseci-Labs/jaseci](https://github.com/Jaseci-Labs/jaseci): 67
-
-[huggingface/evaluate](https://github.com/huggingface/evaluate): 48
-
-[imhuay/studies](https://github.com/imhuay/studies): 42
-
-[AIRC-KETI/ke-t5](https://github.com/AIRC-KETI/ke-t5): 14
-
-[girafe-ai/msai-python](https://github.com/girafe-ai/msai-python): 14
-
-[hms-dbmi/scw](https://github.com/hms-dbmi/scw): 11
-
-[kili-technology/automl](https://github.com/kili-technology/automl): 5
-
-[whatofit/LevelWordWithFreq](https://github.com/whatofit/LevelWordWithFreq): 5
-
-    

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