runtime error

tokenizer_config.json: 0%| | 0.00/4.76k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 4.76k/4.76k [00:00<00:00, 18.9MB/s] tokenizer.json: 0%| | 0.00/2.47M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.47M/2.47M [00:00<00:00, 7.47MB/s] special_tokens_map.json: 0%| | 0.00/441 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 441/441 [00:00<00:00, 2.93MB/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. config.json: 0%| | 0.00/602 [00:00<?, ?B/s] config.json: 100%|██████████| 602/602 [00:00<00:00, 3.51MB/s] Traceback (most recent call last): File "/home/user/.local/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py", line 1117, in from_pretrained config_class = CONFIG_MAPPING[config_dict["model_type"]] File "/home/user/.local/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py", line 813, in __getitem__ raise KeyError(key) KeyError: 'stablelm' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/home/user/app/app.py", line 8, in <module> model = AutoModelForCausalLM.from_pretrained( File "/home/user/.local/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py", line 526, in from_pretrained config, kwargs = AutoConfig.from_pretrained( File "/home/user/.local/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py", line 1119, in from_pretrained raise ValueError( ValueError: The checkpoint you are trying to load has model type `stablelm` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.

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