Instructions to use mac999/earthwork-net-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mac999/earthwork-net-model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mac999/earthwork-net-model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -77,7 +77,7 @@ The ENA is detailed in the paper *Earthwork Network Architecture (ENA): Research
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### Training and Evaluation
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1. **Training Data
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- Features are tokenized into sequences for MLP, LSTM, Transformers, and LLM models. We'll upload the train source file after arrangement.
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```bash
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python train_ena_model.py --model_type [MLP|LSTM|Transformer|LLM]
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```
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### Training and Evaluation
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1. **Training Data**:
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- Features are tokenized into sequences for MLP, LSTM, Transformers, and LLM models. We'll upload the train source file after arrangement.
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```bash
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python train_ena_model.py --model_type [MLP|LSTM|Transformer|LLM]
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