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Remove token arg from CLI examples #6839

Merged
merged 4 commits into from
Apr 26, 2024
Merged

Remove token arg from CLI examples #6839

merged 4 commits into from
Apr 26, 2024

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albertvillanova
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Remove token arg from CLI examples.

Fix #6838.

CC: @Wauplin

@HuggingFaceDocBuilderDev

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

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@Wauplin Wauplin left a comment

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Thanks!


Do not forget that you need to log in first to your Hugging Face account:
```bash
huggingface-cli login
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no >>> here? 😛

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There is only input (no output) to be copied/pasted. But I could add it as well, so it is aligned everywhere...

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Done.

@albertvillanova albertvillanova merged commit 22bf538 into main Apr 26, 2024
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@albertvillanova albertvillanova deleted the fix-6838 branch April 26, 2024 16:57
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Show benchmarks

PyArrow==8.0.0

Show updated benchmarks!

Benchmark: benchmark_array_xd.json

metric read_batch_formatted_as_numpy after write_array2d read_batch_formatted_as_numpy after write_flattened_sequence read_batch_formatted_as_numpy after write_nested_sequence read_batch_unformated after write_array2d read_batch_unformated after write_flattened_sequence read_batch_unformated after write_nested_sequence read_col_formatted_as_numpy after write_array2d read_col_formatted_as_numpy after write_flattened_sequence read_col_formatted_as_numpy after write_nested_sequence read_col_unformated after write_array2d read_col_unformated after write_flattened_sequence read_col_unformated after write_nested_sequence read_formatted_as_numpy after write_array2d read_formatted_as_numpy after write_flattened_sequence read_formatted_as_numpy after write_nested_sequence read_unformated after write_array2d read_unformated after write_flattened_sequence read_unformated after write_nested_sequence write_array2d write_flattened_sequence write_nested_sequence
new / old (diff) 0.005311 / 0.011353 (-0.006042) 0.003691 / 0.011008 (-0.007317) 0.063714 / 0.038508 (0.025206) 0.030875 / 0.023109 (0.007766) 0.251210 / 0.275898 (-0.024688) 0.280539 / 0.323480 (-0.042941) 0.004262 / 0.007986 (-0.003724) 0.002723 / 0.004328 (-0.001606) 0.049487 / 0.004250 (0.045237) 0.045655 / 0.037052 (0.008603) 0.264399 / 0.258489 (0.005910) 0.306613 / 0.293841 (0.012772) 0.028513 / 0.128546 (-0.100033) 0.010726 / 0.075646 (-0.064921) 0.210601 / 0.419271 (-0.208670) 0.036918 / 0.043533 (-0.006614) 0.257872 / 0.255139 (0.002733) 0.278951 / 0.283200 (-0.004249) 0.017900 / 0.141683 (-0.123783) 1.096749 / 1.452155 (-0.355406) 1.152603 / 1.492716 (-0.340113)

Benchmark: benchmark_getitem_100B.json

metric get_batch_of_1024_random_rows get_batch_of_1024_rows get_first_row get_last_row
new / old (diff) 0.095193 / 0.018006 (0.077187) 0.303919 / 0.000490 (0.303429) 0.000226 / 0.000200 (0.000026) 0.000052 / 0.000054 (-0.000002)

Benchmark: benchmark_indices_mapping.json

metric select shard shuffle sort train_test_split
new / old (diff) 0.018558 / 0.037411 (-0.018853) 0.061106 / 0.014526 (0.046580) 0.076233 / 0.176557 (-0.100323) 0.122402 / 0.737135 (-0.614734) 0.075579 / 0.296338 (-0.220760)

Benchmark: benchmark_iterating.json

metric read 5000 read 50000 read_batch 50000 10 read_batch 50000 100 read_batch 50000 1000 read_formatted numpy 5000 read_formatted pandas 5000 read_formatted tensorflow 5000 read_formatted torch 5000 read_formatted_batch numpy 5000 10 read_formatted_batch numpy 5000 1000 shuffled read 5000 shuffled read 50000 shuffled read_batch 50000 10 shuffled read_batch 50000 100 shuffled read_batch 50000 1000 shuffled read_formatted numpy 5000 shuffled read_formatted_batch numpy 5000 10 shuffled read_formatted_batch numpy 5000 1000
new / old (diff) 0.283586 / 0.215209 (0.068377) 2.766179 / 2.077655 (0.688524) 1.481069 / 1.504120 (-0.023051) 1.355004 / 1.541195 (-0.186191) 1.392940 / 1.468490 (-0.075550) 0.578878 / 4.584777 (-4.005899) 2.432890 / 3.745712 (-1.312822) 2.837912 / 5.269862 (-2.431949) 1.762803 / 4.565676 (-2.802873) 0.063339 / 0.424275 (-0.360937) 0.005392 / 0.007607 (-0.002215) 0.340271 / 0.226044 (0.114227) 3.388371 / 2.268929 (1.119443) 1.862622 / 55.444624 (-53.582002) 1.543209 / 6.876477 (-5.333268) 1.569858 / 2.142072 (-0.572215) 0.651487 / 4.805227 (-4.153740) 0.119048 / 6.500664 (-6.381616) 0.042309 / 0.075469 (-0.033160)

Benchmark: benchmark_map_filter.json

metric filter map fast-tokenizer batched map identity map identity batched map no-op batched map no-op batched numpy map no-op batched pandas map no-op batched pytorch map no-op batched tensorflow
new / old (diff) 0.991161 / 1.841788 (-0.850627) 11.778857 / 8.074308 (3.704549) 9.586019 / 10.191392 (-0.605373) 0.148093 / 0.680424 (-0.532331) 0.014301 / 0.534201 (-0.519900) 0.287983 / 0.579283 (-0.291301) 0.266070 / 0.434364 (-0.168293) 0.328261 / 0.540337 (-0.212076) 0.417908 / 1.386936 (-0.969028)
PyArrow==latest
Show updated benchmarks!

Benchmark: benchmark_array_xd.json

metric read_batch_formatted_as_numpy after write_array2d read_batch_formatted_as_numpy after write_flattened_sequence read_batch_formatted_as_numpy after write_nested_sequence read_batch_unformated after write_array2d read_batch_unformated after write_flattened_sequence read_batch_unformated after write_nested_sequence read_col_formatted_as_numpy after write_array2d read_col_formatted_as_numpy after write_flattened_sequence read_col_formatted_as_numpy after write_nested_sequence read_col_unformated after write_array2d read_col_unformated after write_flattened_sequence read_col_unformated after write_nested_sequence read_formatted_as_numpy after write_array2d read_formatted_as_numpy after write_flattened_sequence read_formatted_as_numpy after write_nested_sequence read_unformated after write_array2d read_unformated after write_flattened_sequence read_unformated after write_nested_sequence write_array2d write_flattened_sequence write_nested_sequence
new / old (diff) 0.005252 / 0.011353 (-0.006100) 0.003740 / 0.011008 (-0.007268) 0.049622 / 0.038508 (0.011114) 0.030040 / 0.023109 (0.006931) 0.262224 / 0.275898 (-0.013674) 0.312216 / 0.323480 (-0.011264) 0.004213 / 0.007986 (-0.003773) 0.002737 / 0.004328 (-0.001592) 0.049159 / 0.004250 (0.044908) 0.041060 / 0.037052 (0.004008) 0.275826 / 0.258489 (0.017337) 0.301879 / 0.293841 (0.008038) 0.029364 / 0.128546 (-0.099182) 0.010453 / 0.075646 (-0.065193) 0.058095 / 0.419271 (-0.361176) 0.032898 / 0.043533 (-0.010635) 0.263876 / 0.255139 (0.008737) 0.281686 / 0.283200 (-0.001514) 0.018711 / 0.141683 (-0.122971) 1.126056 / 1.452155 (-0.326098) 1.185125 / 1.492716 (-0.307591)

Benchmark: benchmark_getitem_100B.json

metric get_batch_of_1024_random_rows get_batch_of_1024_rows get_first_row get_last_row
new / old (diff) 0.094153 / 0.018006 (0.076147) 0.300719 / 0.000490 (0.300229) 0.000207 / 0.000200 (0.000007) 0.000048 / 0.000054 (-0.000006)

Benchmark: benchmark_indices_mapping.json

metric select shard shuffle sort train_test_split
new / old (diff) 0.022610 / 0.037411 (-0.014801) 0.075502 / 0.014526 (0.060977) 0.088858 / 0.176557 (-0.087699) 0.129421 / 0.737135 (-0.607714) 0.089331 / 0.296338 (-0.207007)

Benchmark: benchmark_iterating.json

metric read 5000 read 50000 read_batch 50000 10 read_batch 50000 100 read_batch 50000 1000 read_formatted numpy 5000 read_formatted pandas 5000 read_formatted tensorflow 5000 read_formatted torch 5000 read_formatted_batch numpy 5000 10 read_formatted_batch numpy 5000 1000 shuffled read 5000 shuffled read 50000 shuffled read_batch 50000 10 shuffled read_batch 50000 100 shuffled read_batch 50000 1000 shuffled read_formatted numpy 5000 shuffled read_formatted_batch numpy 5000 10 shuffled read_formatted_batch numpy 5000 1000
new / old (diff) 0.291595 / 0.215209 (0.076386) 2.864377 / 2.077655 (0.786722) 1.543387 / 1.504120 (0.039267) 1.404273 / 1.541195 (-0.136922) 1.421964 / 1.468490 (-0.046526) 0.579275 / 4.584777 (-4.005502) 0.979212 / 3.745712 (-2.766500) 2.822043 / 5.269862 (-2.447818) 1.745015 / 4.565676 (-2.820661) 0.064626 / 0.424275 (-0.359649) 0.005006 / 0.007607 (-0.002601) 0.345509 / 0.226044 (0.119464) 3.410369 / 2.268929 (1.141440) 1.875930 / 55.444624 (-53.568694) 1.600841 / 6.876477 (-5.275636) 1.611818 / 2.142072 (-0.530254) 0.662277 / 4.805227 (-4.142950) 0.117861 / 6.500664 (-6.382803) 0.041061 / 0.075469 (-0.034408)

Benchmark: benchmark_map_filter.json

metric filter map fast-tokenizer batched map identity map identity batched map no-op batched map no-op batched numpy map no-op batched pandas map no-op batched pytorch map no-op batched tensorflow
new / old (diff) 1.007834 / 1.841788 (-0.833954) 12.345653 / 8.074308 (4.271345) 9.775237 / 10.191392 (-0.416155) 0.135166 / 0.680424 (-0.545258) 0.016799 / 0.534201 (-0.517402) 0.289235 / 0.579283 (-0.290048) 0.126196 / 0.434364 (-0.308168) 0.382905 / 0.540337 (-0.157432) 0.435248 / 1.386936 (-0.951688)

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Remove token arg from CLI examples
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