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Model Details

  • Input size: 768
  • Output size: 512
  • Architecture: Single linear layer

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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Uses

This is a test model does not have any practical use.

Direct Use

Usage

Since this is a custom model, the code associated with the model needs to be restiered before it can be instantiated. To start with clone the repo git clone https://huggingface.co/sushilks/simple_linear_model

from simple_linear_model.model import *
from transformers import AutoConfig, AutoModel

# Load the model
model = AutoModel.from_pretrained("sushilks/simple_linear_model")

# Forward pass
import torch
x = torch.randn(1, 768)  # Example input
output = model(x)
print(output.shape) # shoudl be 1,512

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

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Summary

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Paper for sushilks/simple_linear_model