Instructions to use sushilks/simple_linear_model_30k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sushilks/simple_linear_model_30k with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sushilks/simple_linear_model_30k", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Quick Links
Custom Linear Model
This is a simple custom model with a single linear layer. It does not have practical usages, just used for testing.
Model Details
- Input size: 30000
- Output size: 30000
- Architecture: Single linear layer
Usage
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
from transformers import AutoModel
model = AutoModel.from_pretrained("sushilks/simple_linear_model_30k")
# Forward pass
import torch
x = torch.randn(1, 30000) # Example input
output = model(x)
print(output.shape) # shoudl be 1,30000
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# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sushilks/simple_linear_model_30k", dtype="auto")