Largest model train set The largest model train set is 15,715 m (51,558 ft 4.78 in) and was achieved by Miniatur Wunderland (Germany) in Hamburg, Germany, on 14 August 2019. The Miniatur Wunderland broke this record with the opening of the new route section 'Monaco Provence'. Records ch...
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model_args will be passed as kwargs through to models on creation. See example at https://huggingface.co/gaunernst/vit_base_patch16_1024_128.audiomae_as2m_ft_as20k/blob/main/config.json Usage: #2035 Updated imagenet eval and test set csv files with latest models vision_transformer.py ...
fromdatasetsimportload_dataset# Print all the available datasetsfromhuggingface_hubimportlist_datasetsprint([dataset.idfordatasetinlist_datasets()])# Load a dataset and print the first example in the training setsquad_dataset=load_dataset('squad')print(squad_dataset['train'][0])# Process the data...
The next time you see a train rolling down the tracks, ask yourself, "How much does that locomotive weigh?" You'd be in the ballpark if your guess is around 400,000 to 500,000 pounds. Union PacificCan you imagine one tipping the scales at over one million pounds? That would be 'Big...
The next time you see a train rolling down the tracks, ask yourself, "How much does that locomotive weigh?" You'd be in the ballpark if your guess is around 400,000 to 500,000 pounds. Union PacificCan you imagine one tipping the scales at over one million pounds? That would be 'Big...
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anoting standard model types, citing examples of failed [translate] aA security guard has described the trauma of seeing last July's car bomb blast set off by Anders Behring Breivik at Norway's government headquarters. 治安警卫描述了看上7月的Anders ・引起的汽车炸弹疾风精神创伤Behring Breivik在...
You can download the models from the provided paths above and set TASKID and TASK_NAME according to your preferences. To conduct inference, you can use following command (base model for example): nnUNet_predict -i INPUT_PATH -o OUTPUT_PATH -t 101 -m 3d_fullres -f 0 -tr STUNet...
Note:Trainable classindicates the class that has over 100 train images. The number of images per class and the histogram of the number of annotations in training set are shown in the following figures. [back to top] Here we generate the tfrecords using the multithreading module. One should ...