Instructions to use Mergeability/codegen-mono-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mergeability/codegen-mono-multi with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Mergeability/codegen-mono-multi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add model card: what this is, and which variants are valid
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consolidate: absorb ties__aligned
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consolidate: absorb task_arithmetic__naive
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consolidate: absorb average__aligned
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consolidate: drop the duplicated root copy
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consolidate: move average__naive payload into its subfolder
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merged checkpoint ({'pair_id': 'codegen-mono-multi', 'parent_a': 'Salesforce/codegen-350M-mono', 'parent_b': 'Salesforce/codegen-350M-multi', 'ceiling': 'Salesforce/codegen-350M-nl', 'operator': 'average', 'alignment': 'naive', 'align_method': 'permutation', 'regime': 'shared_base', 'eval_langs': 'wikitext', 'nll_merge': 6.3817, 'nll_floor': 6.2402, 'param_coverage': 1.0, 'MS': -0.0891})
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initial commit
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