Instructions to use SEBIS/code_trans_t5_small_code_documentation_generation_go with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SEBIS/code_trans_t5_small_code_documentation_generation_go 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_code_documentation_generation_go")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_small_code_documentation_generation_go") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_small_code_documentation_generation_go", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SEBIS/code_trans_t5_small_code_documentation_generation_go: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/SEBIS/code_trans_t5_small_code_documentation_generation_go/resolve/eab57765be2d166d8505e5c48e9dc66d661cf806/pytorch_model.bin
- Command line
-
hf download hf://SEBIS/code_trans_t5_small_code_documentation_generation_go@eab57765be2d166d8505e5c48e9dc66d661cf806/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SEBIS/code_trans_t5_small_code_documentation_generation_go/resolve/eab57765be2d166d8505e5c48e9dc66d661cf806/pytorch_model.bin
242 MB
- Xet hash:
- 37ed9e9e3cc1ade44f2851edcd185fb5ab37ead27bd10c158f1b112b7acc56ba
- Size of remote file:
- 242 MB
- SHA256:
- 7acd789a9fbc164f958bf8a319909946de40207a2d3b350a383b41dc1a2e56e2
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