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model_loading_workaround
ai-agents-model-loading-workar-autoprocessor-from-pretrained-fails-with-attribute-93c8b703
IFAutoProcessor.from_pretrained fails with AttributeError: 'dict' object has no attribute 'model_type' when loading a local model in transformers v4.57.2.
THENUpgrade transformers to a version >4.57.2 where the fix is applied, or manually patch tokenization_utils_base.py: change `if _is_local and _config.model_type not in [` to `if _is_local and _config.get('model_type') not in [` or use dictionary access `_config['model_type']`. As a temporary workaround, set the `transformers_version` key in the local model's config.json to "4.57.2" to bypass the version check, though this may introduce compatibility risks.
Tier 170%
model_loading_workaround
infrastructure-model-loading-workar-valueerror-unknown-quantization-type-got-fp8-when--a1bdb41c
IFValueError: Unknown quantization type, got fp8 when loading a Hugging Face model via AutoModelForCausalLM.from_pretrained()
THENRemove the 'quantization_config' key from the model's config.json file before loading, or use an inference engine like vLLM that supports the native fp8 quantization. Alternatively, modify config.json to set a supported quantization type and ensure the corresponding packages (e.g., bitsandbytes, torchao) are installed. This works around the unsupported quantization type in transformers library.
Tier 170%
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