Instructions to use SEBIS/code_trans_t5_large_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_large_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_large_commit_generation_transfer_learning_finetune")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_large_commit_generation_transfer_learning_finetune") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_large_commit_generation_transfer_learning_finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from SEBIS/code_trans_t5_large_commit_generation_transfer_learning_finetune: direct link, hf CLI and curl.
- Browser
- Download file 2.95 GB
-
https://huggingface.co/SEBIS/code_trans_t5_large_commit_generation_transfer_learning_finetune/resolve/refs%2Fpr%2F2/flax_model.msgpack
- Command line
-
hf download hf://SEBIS/code_trans_t5_large_commit_generation_transfer_learning_finetune@refs/pr/2/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/SEBIS/code_trans_t5_large_commit_generation_transfer_learning_finetune/resolve/refs%2Fpr%2F2/flax_model.msgpack
2.95 GB
- Xet hash:
- 8c109db568986d5a84e78658670b990f6f1526c48296749528796b1f4cc61180
- Size of remote file:
- 2.95 GB
- SHA256:
- 1296ab16c137781ea75206f0695eba29850f0196f262ca86fab560a93176267d
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