Transformers
PyTorch
TensorBoard
English
encoder-decoder
text2text-generation
Generated from Trainer
seq2seq
Instructions to use abhi11nav/codebert-gpt2-commitgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhi11nav/codebert-gpt2-commitgen with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("abhi11nav/codebert-gpt2-commitgen") model = AutoModelForSeq2SeqLM.from_pretrained("abhi11nav/codebert-gpt2-commitgen") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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### Training results
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global_step=4521
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training_loss=3.55994465065804
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train_runtime: 3300.0492
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train_samples_per_second: 21.919
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train_steps_per_second: 1.37
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total_flos: 1.062667587499776e+16
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train_loss: 3.55994465065804
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### Framework versions
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### Training results
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- global_step=4521
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- training_loss=3.55994465065804
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- train_runtime: 3300.0492
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- train_samples_per_second: 21.919
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- train_steps_per_second: 1.37
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- total_flos: 1.062667587499776e+16
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- train_loss: 3.55994465065804
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### Framework versions
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