Update all references to canonical models (#29001)
* Script & Manual edition * Update
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@@ -709,7 +709,7 @@ class ModelUtilsTest(TestCasePlus):
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def test_from_pretrained_low_cpu_mem_usage_measured(self):
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# test that `from_pretrained(..., low_cpu_mem_usage=True)` uses less cpu memory than default
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mname = "bert-base-cased"
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mname = "google-bert/bert-base-cased"
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preamble = "from transformers import AutoModel"
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one_liner_str = f'{preamble}; AutoModel.from_pretrained("{mname}", low_cpu_mem_usage=False)'
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@@ -753,9 +753,9 @@ class ModelUtilsTest(TestCasePlus):
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for i in range(12):
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device_map[f"transformer.h.{i}"] = 0 if i <= 5 else 1
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model = AutoModelForCausalLM.from_pretrained("gpt2", device_map=device_map)
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model = AutoModelForCausalLM.from_pretrained("openai-community/gpt2", device_map=device_map)
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tokenizer = AutoTokenizer.from_pretrained("gpt2")
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tokenizer = AutoTokenizer.from_pretrained("openai-community/gpt2")
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inputs = tokenizer("Hello, my name is", return_tensors="pt")
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output = model.generate(inputs["input_ids"].to(0))
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@@ -1165,7 +1165,7 @@ class ModelUtilsTest(TestCasePlus):
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@slow
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def test_pretrained_low_mem_new_config(self):
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# Checking for 1 model(the same one which was described in the issue) .
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model_ids = ["gpt2"]
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model_ids = ["openai-community/gpt2"]
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for model_id in model_ids:
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model_config = AutoConfig.from_pretrained(pretrained_model_name_or_path=model_id)
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@@ -1246,7 +1246,7 @@ class ModelUtilsTest(TestCasePlus):
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self.assertTrue(torch.equal(p1, p2))
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def test_modifying_model_config_causes_warning_saving_generation_config(self):
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model = AutoModelForCausalLM.from_pretrained("gpt2")
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model = AutoModelForCausalLM.from_pretrained("openai-community/gpt2")
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model.config.top_k = 1
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with tempfile.TemporaryDirectory() as tmp_dir:
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with self.assertLogs("transformers.modeling_utils", level="WARNING") as logs:
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@@ -1514,7 +1514,7 @@ class ModelPushToHubTester(unittest.TestCase):
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The commit description supports markdown synthax see:
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```python
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>>> form transformers import AutoConfig
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>>> config = AutoConfig.from_pretrained("bert-base-uncased")
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>>> config = AutoConfig.from_pretrained("google-bert/bert-base-uncased")
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```
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"""
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commit_details = model.push_to_hub(
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