Instructions to use jonl521/modeling_simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonl521/modeling_simple with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jonl521/modeling_simple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download save_model.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 300 Bytes
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/save_model.py
- Command line
-
hf download hf://jonl521/modeling_simple/save_model.py
-
curl -L -o save_model.py https://huggingface.co/jonl521/modeling_simple/resolve/main/save_model.py
300 Bytes
| from modeling_simple import SimpleModel, SimpleConfig | |
| config = SimpleConfig( | |
| vocab_size=100, | |
| hidden_size=32, | |
| num_labels=2 | |
| ) | |
| model = SimpleModel(config) | |
| # This creates: | |
| # - config.json | |
| # - pytorch_model.bin | |
| model.save_pretrained("simple-model") | |
| config.save_pretrained("simple-model") | |