Fix : add require_read_token for gemma2 gated model (#35687)
fix gemma2 gated model test
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@@ -18,6 +18,7 @@ import unittest
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from transformers import AddedToken, AutoModelForCausalLM, AutoModelForSeq2SeqLM, AutoTokenizer
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from transformers import AddedToken, AutoModelForCausalLM, AutoModelForSeq2SeqLM, AutoTokenizer
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from transformers.testing_utils import (
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from transformers.testing_utils import (
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require_gguf,
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require_gguf,
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require_read_token,
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require_torch_gpu,
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require_torch_gpu,
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slow,
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slow,
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torch_device,
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torch_device,
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@@ -880,6 +881,7 @@ class GgufIntegrationTests(unittest.TestCase):
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EXPECTED_TEXT = "Hello! 👋\n\nI'm a large language model"
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EXPECTED_TEXT = "Hello! 👋\n\nI'm a large language model"
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self.assertEqual(tokenizer.decode(out[0], skip_special_tokens=True), EXPECTED_TEXT)
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self.assertEqual(tokenizer.decode(out[0], skip_special_tokens=True), EXPECTED_TEXT)
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@require_read_token
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def test_gemma2_weights_conversion_fp32(self):
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def test_gemma2_weights_conversion_fp32(self):
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original_model = AutoModelForCausalLM.from_pretrained(
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original_model = AutoModelForCausalLM.from_pretrained(
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self.original_gemma2_model_id,
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self.original_gemma2_model_id,
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