Instructions to use GagaLey/MoR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GagaLey/MoR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="GagaLey/MoR")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("GagaLey/MoR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download train_planner.sh from GagaLey/MoR: direct link, hf CLI and curl.
- Browser
- Download file 110 Bytes
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https://huggingface.co/GagaLey/MoR/resolve/main/train_planner.sh
- Command line
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hf download hf://GagaLey/MoR/train_planner.sh
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curl -L -o train_planner.sh https://huggingface.co/GagaLey/MoR/resolve/main/train_planner.sh
110 Bytes
| # Navigate to the Planning directory | |
| cd Planning | |
| # Run the training script | |
| python train_eval.py | |