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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
contriever checkpoint
Browse files
Reasoning/text_retrievers/model_checkpoint/contriever/prime/best_20250204.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:5604e310687c5b2a98485072b0a08fc5d0246ba88ddcc86295794daf7f806300
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size 437997827
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