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您好!非常细致以及专业的视频!感谢您的讲解,带我小白认识了大模型!我导师想让我利用他人在HF上的模型对自己的数据进行预测。其中模型叫做:InstaDeepAI/nucleotide-transformer-500m-human-ref 但是我们需要利用下游任务内的dataset进Fine Tuning,作者其实有给出对应的notebook但是我在运行加载dataset的时候出现了报错
InstaDeepAI/nucleotide-transformer-500m-human-ref
--------------------------------------------------------------------------- TypeError Traceback (most recent call last) Cell In[7], line 5 3 # Load the promoter dataset from the InstaDeep Hugging Face ressources 4 dataset_name = "promoter_all" ----> 5 train_dataset_promoter = load_dataset( 6 "InstaDeepAI/nucleotide_transformer_downstream_tasks_revised", 7 dataset_name, 8 # split="train", 9 streaming= False,trust_remote_code=True 10 ) 11 test_dataset_promoter = load_dataset( 12 "InstaDeepAI/nucleotide_transformer_downstream_tasks_revised", 13 dataset_name, 14 # split="test", 15 streaming= False,trust_remote_code=True 16 ) File /public/home/hhl/miniconda3/envs/transformer/lib/python3.9/site-packages/datasets/load.py:2129, in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, keep_in_memory, save_infos, revision, token, streaming, num_proc, storage_options, trust_remote_code, **config_kwargs) 2124 verification_mode = VerificationMode( 2125 (verification_mode or VerificationMode.BASIC_CHECKS) if not save_infos else VerificationMode.ALL_CHECKS 2126 ) 2128 # Create a dataset builder -> 2129 builder_instance = load_dataset_builder( 2130 path=path, 2131 name=name, 2132 data_dir=data_dir, 2133 data_files=data_files, 2134 cache_dir=cache_dir, 2135 features=features, 2136 download_config=download_config, 2137 download_mode=download_mode, 2138 revision=revision, 2139 token=token, 2140 storage_options=storage_options, 2141 trust_remote_code=trust_remote_code, 2142 _require_default_config_name=name is None, 2143 **config_kwargs, 2144 ) 2146 # Return iterable dataset in case of streaming 2147 if streaming: File /public/home/hhl/miniconda3/envs/transformer/lib/python3.9/site-packages/datasets/load.py:1886, in load_dataset_builder(path, name, data_dir, data_files, cache_dir, features, download_config, download_mode, revision, token, storage_options, trust_remote_code, _require_default_config_name, **config_kwargs) 1884 builder_cls = get_dataset_builder_class(dataset_module, dataset_name=dataset_name) 1885 # Instantiate the dataset builder -> 1886 builder_instance: DatasetBuilder = builder_cls( 1887 cache_dir=cache_dir, 1888 dataset_name=dataset_name, 1889 config_name=config_name, 1890 data_dir=data_dir, 1891 data_files=data_files, 1892 hash=dataset_module.hash, 1893 info=info, 1894 features=features, 1895 token=token, 1896 storage_options=storage_options, 1897 **builder_kwargs, 1898 **config_kwargs, 1899 ) 1900 builder_instance._use_legacy_cache_dir_if_possible(dataset_module) 1902 return builder_instance TypeError: 'NoneType' object is not callable
这个问题我也在dataset内以及对应的模型内进行了提问同时在各大网址内进行了检索也没有找到最终的解决办法。请问您有什么思路么?
The text was updated successfully, but these errors were encountered:
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您好!非常细致以及专业的视频!感谢您的讲解,带我小白认识了大模型!我导师想让我利用他人在HF上的模型对自己的数据进行预测。其中模型叫做:
InstaDeepAI/nucleotide-transformer-500m-human-ref
但是我们需要利用下游任务内的dataset进Fine Tuning,作者其实有给出对应的notebook但是我在运行加载dataset的时候出现了报错
这个问题我也在dataset内以及对应的模型内进行了提问同时在各大网址内进行了检索也没有找到最终的解决办法。请问您有什么思路么?
The text was updated successfully, but these errors were encountered: