Instructions to use hikmatfarhat/MNIST_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hikmatfarhat/MNIST_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hikmatfarhat/MNIST_Classifier", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hikmatfarhat/MNIST_Classifier", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 486 Bytes
233e6e6 0bd2cee 233e6e6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | from transformers import PretrainedConfig
class MNIST_config(PretrainedConfig):
model_type = "MNIST_Classifier"
def __init__(self, **kwargs):
super().__init__(**kwargs)
for key,value in kwargs.items():
setattr(self,key,value)
#print(key,value)
#self.input_size=kwargs['input_size']
#self.hidden_size1=kwargs["hidden_size1"]
#self.hidden_size2=kwargs["hidden_size2"]
#self.output_size=kwargs["output_size"]
|