Instructions to use SEBIS/code_trans_t5_base_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_base_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_base_commit_generation_multitask")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_base_commit_generation_multitask") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_base_commit_generation_multitask", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SEBIS/code_trans_t5_base_commit_generation_multitask: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/SEBIS/code_trans_t5_base_commit_generation_multitask/resolve/e81a407592c5cb863273bd087380837bef43d55f/pytorch_model.bin
- Command line
-
hf download hf://SEBIS/code_trans_t5_base_commit_generation_multitask@e81a407592c5cb863273bd087380837bef43d55f/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SEBIS/code_trans_t5_base_commit_generation_multitask/resolve/e81a407592c5cb863273bd087380837bef43d55f/pytorch_model.bin
892 MB
- Xet hash:
- 9be07e052a9270c77ea9b09be4eb2b083934146a12b6df15af5de443428194d9
- Size of remote file:
- 892 MB
- SHA256:
- 53b3d2dfc127152e43b21379e47bc91a457a300e6c12bd3758fbd3dcee5116cf
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