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model = AutoModel.from_pretrained( model_args.model_name_or_path, trust_remote_code=True, torch_dtype=compute_dtype, device_map=device_map, init_vision=True, init_audio=False, init_tts=False, )
This is the new AutoModel params in the finetune.py script. But some of the params like init_vision, init_audio and init_tts are not valid for V_2.6
For V_2.6 the correct implementation should be
model = AutoModel.from_pretrained( model_args.model_name_or_path, trust_remote_code=True, torch_dtype=compute_dtype, device_map=device_map )
Followed the basic instructions mentioned in the repo.
- OS: - Python: - Transformers: - PyTorch: - CUDA (`python -c 'import torch; print(torch.version.cuda)'`):
No response
The text was updated successfully, but these errors were encountered:
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是否已有关于该错误的issue或讨论? | Is there an existing issue / discussion for this?
该问题是否在FAQ中有解答? | Is there an existing answer for this in FAQ?
当前行为 | Current Behavior
model = AutoModel.from_pretrained(
model_args.model_name_or_path,
trust_remote_code=True,
torch_dtype=compute_dtype,
device_map=device_map,
init_vision=True,
init_audio=False,
init_tts=False,
)
This is the new AutoModel params in the finetune.py script. But some of the params like init_vision, init_audio and init_tts are not valid for V_2.6
期望行为 | Expected Behavior
For V_2.6 the correct implementation should be
model = AutoModel.from_pretrained(
model_args.model_name_or_path,
trust_remote_code=True,
torch_dtype=compute_dtype,
device_map=device_map
)
复现方法 | Steps To Reproduce
Followed the basic instructions mentioned in the repo.
运行环境 | Environment
备注 | Anything else?
No response
The text was updated successfully, but these errors were encountered: