Instructions to use SEBIS/code_trans_t5_small_commit_generation_transfer_learning_finetune 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_transfer_learning_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_small_commit_generation_transfer_learning_finetune")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_small_commit_generation_transfer_learning_finetune") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_small_commit_generation_transfer_learning_finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from SEBIS/code_trans_t5_small_commit_generation_transfer_learning_finetune: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/SEBIS/code_trans_t5_small_commit_generation_transfer_learning_finetune/resolve/refs%2Fpr%2F2/model.safetensors
- Command line
-
hf download hf://SEBIS/code_trans_t5_small_commit_generation_transfer_learning_finetune@refs/pr/2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/SEBIS/code_trans_t5_small_commit_generation_transfer_learning_finetune/resolve/refs%2Fpr%2F2/model.safetensors
242 MB
- Xet hash:
- 51effd8f1a457225fbf1a55ad87c3e346828afa0ab553d76d7f653c86aaffc58
- Size of remote file:
- 242 MB
- SHA256:
- 987a8b74df94e17af3e83edcdae8348609e52a5a80377d94d68de85acbd09ae5
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