Model versioning (#8324)
* fix typo * rm use_cdn & references, and implement new hf_bucket_url * I'm pretty sure we don't need to `read` this file * same here * [BIG] file_utils.networking: do not gobble up errors anymore * Fix CI 😇 * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Tiny doc tweak * Add doc + pass kwarg everywhere * Add more tests and explain cc @sshleifer let me know if better Co-Authored-By: Sam Shleifer <sshleifer@gmail.com> * Also implement revision in pipelines In the case where we're passing a task name or a string model identifier * Fix CI 😇 * Fix CI * [hf_api] new methods + command line implem * make style * Final endpoints post-migration * Fix post-migration * Py3.6 compat cc @stefan-it Thank you @stas00 Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Sam Shleifer <sshleifer@gmail.com>
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@@ -56,7 +56,3 @@ cd -
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perl -le 'for $f (@ARGV) { print qq[transformers-cli upload -y $_/$f --filename $_/$f] for ("wmt16-en-de-dist-12-1", "wmt16-en-de-dist-6-1", "wmt16-en-de-12-1")}' vocab-src.json vocab-tgt.json tokenizer_config.json config.json
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# add/remove files as needed
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# Caching note: Unfortunately due to CDN caching the uploaded model may be unavailable for up to 24hs after upload
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# So the only way to start using the new model sooner is either:
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# 1. download it to a local path and use that path as model_name
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# 2. make sure you use: from_pretrained(..., use_cdn=False) everywhere
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@@ -44,7 +44,3 @@ cd -
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perl -le 'for $f (@ARGV) { print qq[transformers-cli upload -y $_/$f --filename $_/$f] for ("wmt19-de-en-6-6-base", "wmt19-de-en-6-6-big")}' vocab-src.json vocab-tgt.json tokenizer_config.json config.json
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# add/remove files as needed
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# Caching note: Unfortunately due to CDN caching the uploaded model may be unavailable for up to 24hs after upload
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# So the only way to start using the new model sooner is either:
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# 1. download it to a local path and use that path as model_name
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# 2. make sure you use: from_pretrained(..., use_cdn=False) everywhere
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@@ -55,7 +55,3 @@ cd -
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perl -le 'for $f (@ARGV) { print qq[transformers-cli upload -y $_/$f --filename $_/$f] for map { "wmt19-$_" } ("en-ru", "ru-en", "de-en", "en-de")}' vocab-src.json vocab-tgt.json tokenizer_config.json config.json
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# add/remove files as needed
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# Caching note: Unfortunately due to CDN caching the uploaded model may be unavailable for up to 24hs after upload
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# So the only way to start using the new model sooner is either:
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# 1. download it to a local path and use that path as model_name
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# 2. make sure you use: from_pretrained(..., use_cdn=False) everywhere
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