Instructions to use SEBIS/code_trans_t5_base_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_base_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_base_commit_generation_transfer_learning_finetune")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_base_commit_generation_transfer_learning_finetune") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_base_commit_generation_transfer_learning_finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from SEBIS/code_trans_t5_base_commit_generation_transfer_learning_finetune: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/SEBIS/code_trans_t5_base_commit_generation_transfer_learning_finetune/resolve/refs%2Fpr%2F1/flax_model.msgpack
- Command line
-
hf download hf://SEBIS/code_trans_t5_base_commit_generation_transfer_learning_finetune@refs/pr/1/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/SEBIS/code_trans_t5_base_commit_generation_transfer_learning_finetune/resolve/refs%2Fpr%2F1/flax_model.msgpack
892 MB
- Xet hash:
- a44d9151554e3f4b6db614e63f9be8fedab31ce0315716adb0e424dbf192d032
- Size of remote file:
- 892 MB
- SHA256:
- a0dea9ceb475c8de07286f3852e8665bdeb4f085f74a4c48c62026ed77fd000f
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