Instructions to use mamiksik/CommitPredictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mamiksik/CommitPredictor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mamiksik/CommitPredictor")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mamiksik/CommitPredictor") model = AutoModelForMaskedLM.from_pretrained("mamiksik/CommitPredictor") - Notebooks
- Google Colab
- Kaggle
End of training clear-vortex-188
Browse files- config.json +1 -1
- pytorch_model.bin +2 -2
- training_args.bin +1 -1
config.json
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"transformers_version": "4.25.1",
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"transformers_version": "4.25.1",
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pytorch_model.bin
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training_args.bin
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