Instructions to use SEBIS/code_trans_t5_large_commit_generation_multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SEBIS/code_trans_t5_large_commit_generation_multitask 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_large_commit_generation_multitask")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_large_commit_generation_multitask") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_large_commit_generation_multitask", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75dccd2b4a80862f5fa29618f7b6f75828150bea99d7bb2b678902ac42960318
- Size of remote file:
- 2.95 GB
- SHA256:
- 7a220853c2d2a5f2001d6c03f6a5e318b3a2bc6ece6f11faecefe3180384cba7
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