Instructions to use SEBIS/code_trans_t5_base_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_base_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_base_commit_generation_multitask_finetune")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_base_commit_generation_multitask_finetune") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_base_commit_generation_multitask_finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from SEBIS/code_trans_t5_base_commit_generation_multitask_finetune: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/SEBIS/code_trans_t5_base_commit_generation_multitask_finetune/resolve/refs%2Fpr%2F1/flax_model.msgpack
- Command line
-
hf download hf://SEBIS/code_trans_t5_base_commit_generation_multitask_finetune@refs/pr/1/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/SEBIS/code_trans_t5_base_commit_generation_multitask_finetune/resolve/refs%2Fpr%2F1/flax_model.msgpack
892 MB
- Xet hash:
- 9c6dbe8a5f858940488de4d6c23641f90749468993d08351bbad7edb424bce1d
- Size of remote file:
- 892 MB
- SHA256:
- 4b36a8dabbd2676c119cd889f23b7dc3cbff4a3425bd28f2d3b65e2c037b7a2d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.