Instructions to use SEBIS/code_trans_t5_small_commit_generation_multitask_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_multitask_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_multitask_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_multitask_finetune") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_small_commit_generation_multitask_finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SEBIS/code_trans_t5_small_commit_generation_multitask_finetune: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/SEBIS/code_trans_t5_small_commit_generation_multitask_finetune/resolve/475cd1ebbb8cb3043310a91a3c7efe7d2ddd99cd/pytorch_model.bin
- Command line
-
hf download hf://SEBIS/code_trans_t5_small_commit_generation_multitask_finetune@475cd1ebbb8cb3043310a91a3c7efe7d2ddd99cd/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SEBIS/code_trans_t5_small_commit_generation_multitask_finetune/resolve/475cd1ebbb8cb3043310a91a3c7efe7d2ddd99cd/pytorch_model.bin
242 MB
- Xet hash:
- d7e5e7bd51788d4ae31cca5863e0d47a2c20c5cc34f83a7c26b46b8e1e49abe9
- Size of remote file:
- 242 MB
- SHA256:
- 0e4a8231d641e9e44c903e1d89dd65ea94218dd21a11fa7ca456b361413d2c34
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