{ "name": "PydanticUserError", "message": "A non-annotated attribute was detected: `TABLE_META = 'meta'`. All model fields require a type annotation; if `TABLE_META` is not meant to be a field, you may be able to resolve this error by annotating it as a `ClassVar` or updating ...
which I do not follow - I did not touch thesave_safetensorsoption, so why the additional warning? That works, but thentrainer.train()crashes with the same error ValueError: You can't train a model that has been loaded with `device_map='auto'` in any distributed mode. Please rerun you...
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to(device) # only GPUs support half-precision currently; if you want to run on CPU use full-precision (not recommended, much slower) if device == torch.device("cpu"): model.to(torch.float32) # prepare your protein sequences as a list sequence_examples = ["PRTEINO", "SEQWENCE"] ...
I'm not sure what cudatoolkit I should be looking for? I though it was the python package "cudatoolkit", I'm vaguely aware there's also an application with the same name that can be installed? Apologies for my confusion, this is my first foray into projects requiring cuda. ...
list: 0-119 Thread(s) per core: 1 Core(s) per socket: 1 Socket(s): 120 NUMA node(s): 1 Vendor ID: GenuineIntel CPU family: 6 Model: 143 Model name: Intel(R) Xeon(R) Platinum 8462Y+ Stepping: 8 CPU MHz: 2800.000 BogoMIPS: 5600.00 Virtualization: VT-x Hypervisor vendor: KVM ...
* `ListOutputParser`: Specifies the output to be a comma delimited list. There has been considerable effort in recent OpenAI models to improve the model's ability to return JSON by simply specifying 'return in JSON', but not all models support such direct support for returning structured data...
Installing different torch/cuda versions did not work, but pinning jaxlib==0.1.71 and restarting the instance solved the issue as well - never thought this has to do with JAX. Thanks@craigcitro! I'm getting the same issue too. The error popped up when instantiating the model runningmodel_...
Looking at the main.cc in the label_image example, I see something about "normalized" in the ReadTensorFromImage function. Don't know if that's helpful information. syed-ahmedmentioned this issueFeb 27, 2016 More descriptive error message when op is not defined for GPU or CPU#524 ...
(not recommended, much slower)ifdevice==torch.device("cpu"):model.to(torch.float32)# prepare your protein sequences as a listsequence_examples=["PRTEINO","SEQWENCE"]# replace all rare/ambiguous amino acids by X and introduce white-space between all amino acidssequence_examples=[" ".joi...