metadata
license: apache-2.0
tags:
- pytorch
- deep-learning
- image-classification
library_name: transformers
MyModel
A demonstration model repository with a complete folder structure.
Architecture
The overall model architecture is illustrated below:
Results
Quantitative evaluation results on the benchmark suite:
Full numerical results are available in artifacts/report/table.csv.
Checkpoints
| File | Description |
|---|---|
config.json |
Model configuration |
model.safetensors |
Trained weights (fp32) |
tokenizer_config.json |
Tokenizer settings |
special_tokens_map.json |
Special token mappings |
Usage
from transformers import AutoModel, AutoTokenizer
model = AutoModel.from_pretrained("dongbobo/my-demo-model")
tokenizer = AutoTokenizer.from_pretrained("dongbobo/my-demo-model")
Citation
@misc{mymodel2024,
author = {dongbobo},
title = {MyModel: A Demonstration Repository},
year = {2024}
}