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Release: v4.0.0

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LysandreJik
2020-11-30 12:07:43 -05:00
parent 5530299096
commit 22b0ff757a
4 changed files with 4 additions and 3 deletions
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2
docs/source/conf.py
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@@ -26,7 +26,7 @@ author = u'huggingface'
# The short X.Y version # The short X.Y version
version = u'' version = u''
# The full version, including alpha/beta/rc tags # The full version, including alpha/beta/rc tags
release = u'3.5.0' release = u'4.0.0'
# -- General configuration --------------------------------------------------- # -- General configuration ---------------------------------------------------

2
setup.py
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@@ -230,7 +230,7 @@ install_requires = [
setup( setup(
name="transformers", name="transformers",
version="4.0.0-rc-1", version="4.1.0dev0",
author="Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Sam Shleifer, Patrick von Platen, Sylvain Gugger, Google AI Language Team Authors, Open AI team Authors, Facebook AI Authors, Carnegie Mellon University Authors", author="Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Sam Shleifer, Patrick von Platen, Sylvain Gugger, Google AI Language Team Authors, Open AI team Authors, Facebook AI Authors, Carnegie Mellon University Authors",
author_email="thomas@huggingface.co", author_email="thomas@huggingface.co",
description="State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch", description="State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch",

2
src/transformers/__init__.py
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@@ -2,7 +2,7 @@
# There's no way to ignore "F401 '...' imported but unused" warnings in this # There's no way to ignore "F401 '...' imported but unused" warnings in this
# module, but to preserve other warnings. So, don't check this module at all. # module, but to preserve other warnings. So, don't check this module at all.
__version__ = "4.0.0-rc-1" __version__ = "4.1.0dev0"
# Work around to update TensorFlow's absl.logging threshold which alters the # Work around to update TensorFlow's absl.logging threshold which alters the
# default Python logging output behavior when present. # default Python logging output behavior when present.

1
src/transformers/models/longformer/modeling_longformer.py
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@@ -459,6 +459,7 @@ class LongformerEmbeddings(nn.Module):
# position_ids (1, len position emb) is contiguous in memory and exported when serialized # position_ids (1, len position emb) is contiguous in memory and exported when serialized
self.register_buffer("position_ids", torch.arange(config.max_position_embeddings).expand((1, -1))) self.register_buffer("position_ids", torch.arange(config.max_position_embeddings).expand((1, -1)))
self.position_embedding_type = getattr(config, "position_embedding_type", "absolute")
self.padding_idx = config.pad_token_id self.padding_idx = config.pad_token_id
self.position_embeddings = nn.Embedding( self.position_embeddings = nn.Embedding(