Instructions to use SEBIS/code_trans_t5_small_commit_generation 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 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")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_small_commit_generation") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_small_commit_generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92ad4958345bd78d8211dd43b79fee12659fa7b33d15432422ae8cbe4ed1c32f
- Size of remote file:
- 242 MB
- SHA256:
- 3365961ee308659a6e31e2b6983127146a629519031225937d293049d84a6e9f
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