Update all references to canonical models (#29001)
* Script & Manual edition * Update
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@@ -461,8 +461,8 @@ class TFGPT2ModelTest(TFModelTesterMixin, TFCoreModelTesterMixin, PipelineTester
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class TFGPT2ModelLanguageGenerationTest(unittest.TestCase):
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@slow
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def test_lm_generate_greedy_distilgpt2_batch_special(self):
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model = TFGPT2LMHeadModel.from_pretrained("distilgpt2")
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tokenizer = GPT2Tokenizer.from_pretrained("distilgpt2")
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model = TFGPT2LMHeadModel.from_pretrained("distilbert/distilgpt2")
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tokenizer = GPT2Tokenizer.from_pretrained("distilbert/distilgpt2")
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tokenizer.pad_token = tokenizer.eos_token
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tokenizer.padding_side = "left"
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@@ -488,8 +488,8 @@ class TFGPT2ModelLanguageGenerationTest(unittest.TestCase):
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@slow
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def test_lm_generate_sample_distilgpt2_batch_special(self):
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model = TFGPT2LMHeadModel.from_pretrained("distilgpt2")
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tokenizer = GPT2Tokenizer.from_pretrained("distilgpt2")
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model = TFGPT2LMHeadModel.from_pretrained("distilbert/distilgpt2")
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tokenizer = GPT2Tokenizer.from_pretrained("distilbert/distilgpt2")
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tokenizer.pad_token = tokenizer.eos_token
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tokenizer.padding_side = "left"
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@@ -522,8 +522,8 @@ class TFGPT2ModelLanguageGenerationTest(unittest.TestCase):
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@slow
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def test_lm_generate_greedy_distilgpt2_beam_search_special(self):
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model = TFGPT2LMHeadModel.from_pretrained("distilgpt2")
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tokenizer = GPT2Tokenizer.from_pretrained("distilgpt2")
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model = TFGPT2LMHeadModel.from_pretrained("distilbert/distilgpt2")
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tokenizer = GPT2Tokenizer.from_pretrained("distilbert/distilgpt2")
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tokenizer.pad_token = tokenizer.eos_token
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tokenizer.padding_side = "left"
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@@ -550,8 +550,8 @@ class TFGPT2ModelLanguageGenerationTest(unittest.TestCase):
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@slow
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def test_lm_generate_distilgpt2_left_padding(self):
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"""Tests that the generated text is the same, regarless of left padding"""
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model = TFGPT2LMHeadModel.from_pretrained("distilgpt2")
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tokenizer = GPT2Tokenizer.from_pretrained("distilgpt2")
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model = TFGPT2LMHeadModel.from_pretrained("distilbert/distilgpt2")
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tokenizer = GPT2Tokenizer.from_pretrained("distilbert/distilgpt2")
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tokenizer.pad_token = tokenizer.eos_token
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tokenizer.padding_side = "left"
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@@ -582,8 +582,8 @@ class TFGPT2ModelLanguageGenerationTest(unittest.TestCase):
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@slow
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def test_lm_generate_gpt2_greedy_xla(self):
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model = TFGPT2LMHeadModel.from_pretrained("gpt2")
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tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
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model = TFGPT2LMHeadModel.from_pretrained("openai-community/gpt2")
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tokenizer = GPT2Tokenizer.from_pretrained("openai-community/gpt2")
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tokenizer.pad_token = tokenizer.eos_token
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tokenizer.padding_side = "left"
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@@ -612,8 +612,8 @@ class TFGPT2ModelLanguageGenerationTest(unittest.TestCase):
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# forces the generation to happen on CPU, to avoid GPU-related quirks
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with tf.device(":/CPU:0"):
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model = TFGPT2LMHeadModel.from_pretrained("gpt2")
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tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
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model = TFGPT2LMHeadModel.from_pretrained("openai-community/gpt2")
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tokenizer = GPT2Tokenizer.from_pretrained("openai-community/gpt2")
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tokenizer.pad_token = tokenizer.eos_token
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tokenizer.padding_side = "left"
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@@ -642,8 +642,8 @@ class TFGPT2ModelLanguageGenerationTest(unittest.TestCase):
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@slow
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def test_lm_generate_gpt2_beam_search_xla(self):
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model = TFGPT2LMHeadModel.from_pretrained("gpt2")
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tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
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model = TFGPT2LMHeadModel.from_pretrained("openai-community/gpt2")
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tokenizer = GPT2Tokenizer.from_pretrained("openai-community/gpt2")
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tokenizer.pad_token = tokenizer.eos_token
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tokenizer.padding_side = "left"
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@@ -671,8 +671,8 @@ class TFGPT2ModelLanguageGenerationTest(unittest.TestCase):
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"laboratory founded in 2010. DeepMind was acquired by Google in 2014. The company is based"
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)
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gpt2_tokenizer = GPT2Tokenizer.from_pretrained("gpt2-large")
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gpt2_model = TFGPT2LMHeadModel.from_pretrained("gpt2-large")
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gpt2_tokenizer = GPT2Tokenizer.from_pretrained("openai-community/gpt2-large")
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gpt2_model = TFGPT2LMHeadModel.from_pretrained("openai-community/gpt2-large")
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input_ids = gpt2_tokenizer(article, return_tensors="tf")
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outputs = gpt2_model.generate(**input_ids, penalty_alpha=0.6, top_k=4, max_length=256)
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@@ -705,8 +705,8 @@ class TFGPT2ModelLanguageGenerationTest(unittest.TestCase):
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"laboratory founded in 2010. DeepMind was acquired by Google in 2014. The company is based"
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)
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gpt2_tokenizer = GPT2Tokenizer.from_pretrained("gpt2-large")
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gpt2_model = TFGPT2LMHeadModel.from_pretrained("gpt2-large")
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gpt2_tokenizer = GPT2Tokenizer.from_pretrained("openai-community/gpt2-large")
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gpt2_model = TFGPT2LMHeadModel.from_pretrained("openai-community/gpt2-large")
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input_ids = gpt2_tokenizer(article, return_tensors="tf")
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xla_generate = tf.function(gpt2_model.generate, jit_compile=True)
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