Instructions to use SEBIS/code_trans_t5_small_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_small_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_small_commit_generation_multitask")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_small_commit_generation_multitask") model = AutoModelForMultimodalLM.from_pretrained("SEBIS/code_trans_t5_small_commit_generation_multitask") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2f8467d7133158e3a0d20011f9ebc58aff3091aa3e703ed05c958578f2271eb
- Size of remote file:
- 242 MB
- SHA256:
- 7b16bb8ee387c2007641a22d3227f7a12e1f29b87f4aeb56f9399712ef317fe2
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