SUMIN/HuggingFace_transformer
1
0
Fork 0
Code Issues Pull Requests Actions 7 Packages Projects Releases Wiki Activity

Correct AutoConfig call docstrings (#10822)

Browse Source
This commit is contained in:
Sebastian Olsson
2021-03-22 14:12:44 +01:00
committed by GitHub
parent 8fb4671811
commit 2c6684239f
3 changed files with 27 additions and 27 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
hubconf.py
View File

@@ -78,7 +78,7 @@ def model(*args, **kwargs):
model = torch.hub.load('huggingface/transformers', 'model', 'bert-base-uncased', output_attentions=True) # Update configuration during loading
assert model.config.output_attentions == True
# Loading from a TF checkpoint file instead of a PyTorch model (slower)
config = AutoConfig.from_json_file('./tf_model/bert_tf_model_config.json')
config = AutoConfig.from_pretrained('./tf_model/bert_tf_model_config.json')
model = torch.hub.load('huggingface/transformers', 'model', './tf_model/bert_tf_checkpoint.ckpt.index', from_tf=True, config=config)
"""
@@ -97,7 +97,7 @@ def modelWithLMHead(*args, **kwargs):
model = torch.hub.load('huggingface/transformers', 'modelWithLMHead', 'bert-base-uncased', output_attentions=True) # Update configuration during loading
assert model.config.output_attentions == True
# Loading from a TF checkpoint file instead of a PyTorch model (slower)
config = AutoConfig.from_json_file('./tf_model/bert_tf_model_config.json')
config = AutoConfig.from_pretrained('./tf_model/bert_tf_model_config.json')
model = torch.hub.load('huggingface/transformers', 'modelWithLMHead', './tf_model/bert_tf_checkpoint.ckpt.index', from_tf=True, config=config)
"""
@@ -115,7 +115,7 @@ def modelForSequenceClassification(*args, **kwargs):
model = torch.hub.load('huggingface/transformers', 'modelForSequenceClassification', 'bert-base-uncased', output_attentions=True) # Update configuration during loading
assert model.config.output_attentions == True
# Loading from a TF checkpoint file instead of a PyTorch model (slower)
config = AutoConfig.from_json_file('./tf_model/bert_tf_model_config.json')
config = AutoConfig.from_pretrained('./tf_model/bert_tf_model_config.json')
model = torch.hub.load('huggingface/transformers', 'modelForSequenceClassification', './tf_model/bert_tf_checkpoint.ckpt.index', from_tf=True, config=config)
"""
@@ -134,7 +134,7 @@ def modelForQuestionAnswering(*args, **kwargs):
model = torch.hub.load('huggingface/transformers', 'modelForQuestionAnswering', 'bert-base-uncased', output_attentions=True) # Update configuration during loading
assert model.config.output_attentions == True
# Loading from a TF checkpoint file instead of a PyTorch model (slower)
config = AutoConfig.from_json_file('./tf_model/bert_tf_model_config.json')
config = AutoConfig.from_pretrained('./tf_model/bert_tf_model_config.json')
model = torch.hub.load('huggingface/transformers', 'modelForQuestionAnswering', './tf_model/bert_tf_checkpoint.ckpt.index', from_tf=True, config=config)
"""