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, 20.1MB/s] tokenizer.json: 0%| | 0.00/2.47M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.47M/2.47M [00:00<00:00, 40.9MB/s] special_tokens_map.json: 0%| | 0.00/441 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 441/441 [00:00<00:00, 1.96MB/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, 2.84MB/s] 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 1098, 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 795, in __getitem__ raise KeyError(key) KeyError: 'stablelm'

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