Instructions to use SEBIS/code_trans_t5_base_commit_generation_multitask_finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SEBIS/code_trans_t5_base_commit_generation_multitask_finetune with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" 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("summarization", model="SEBIS/code_trans_t5_base_commit_generation_multitask_finetune")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_base_commit_generation_multitask_finetune") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_base_commit_generation_multitask_finetune") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c6dbe8a5f858940488de4d6c23641f90749468993d08351bbad7edb424bce1d
- Size of remote file:
- 892 MB
- SHA256:
- 4b36a8dabbd2676c119cd889f23b7dc3cbff4a3425bd28f2d3b65e2c037b7a2d
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