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 # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="GagaLey/MoR")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("GagaLey/MoR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download Planning/__pycache__/utils.cpython-311.pyc from GagaLey/MoR: direct link, hf CLI and curl.
- Browser
- Download file 493 Bytes
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https://huggingface.co/GagaLey/MoR/resolve/main/Planning/__pycache__/utils.cpython-311.pyc
- Command line
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hf download hf://GagaLey/MoR/Planning/__pycache__/utils.cpython-311.pyc
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curl -L -o utils.cpython-311.pyc https://huggingface.co/GagaLey/MoR/resolve/main/Planning/__pycache__/utils.cpython-311.pyc
493 Bytes
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