cross platform from_pretrained#20538
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ArthurZucker merged 10 commits intohuggingface:mainfrom Dec 5, 2022
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Works great for sharded from transformers import TFT5ForConditionalGeneration
MODEL_NAME = "google/flan-t5-xl"
m = TFT5ForConditionalGeneration.from_pretrained(MODEL_NAME, from_pt=True) |
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The documentation is not available anymore as the PR was closed or merged. |
sgugger
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Dec 1, 2022
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
…transformers into tf-from-sharded-pt
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Just need to remove the |
sgugger
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Dec 5, 2022
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| elif os.path.isfile(pretrained_model_name_or_path): | ||
| archive_file = pretrained_model_name_or_path | ||
| is_local = True | ||
| elif os.path.isfile(pretrained_model_name_or_path + ".index"): | ||
| archive_file = pretrained_model_name_or_path + ".index" | ||
| is_local = True |
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This code shouldn't be removed, to preserve compatibility with PreTrainedModel.from_pretrained(path_to_a_model_path, config = config)
mpierrau
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Dec 15, 2022
* add support for `from_pt` * add tf_flax utility file * Update src/transformers/modeling_tf_flax_utils.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * remove flax related modifications * add test * remove FLAX related commits * fixup * remove safetensor todos * revert deletion Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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What does this PR do?
Allows loading sharded checkpoints in TF models. Should fix #19965
from_pt=Truefrom_flax=Truecc @sgugger just FYI