Instructions to use SEBIS/code_trans_t5_base_code_documentation_generation_go_multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SEBIS/code_trans_t5_base_code_documentation_generation_go_multitask 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_code_documentation_generation_go_multitask")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_base_code_documentation_generation_go_multitask") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_base_code_documentation_generation_go_multitask", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from SEBIS/code_trans_t5_base_code_documentation_generation_go_multitask: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/SEBIS/code_trans_t5_base_code_documentation_generation_go_multitask/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://SEBIS/code_trans_t5_base_code_documentation_generation_go_multitask/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/SEBIS/code_trans_t5_base_code_documentation_generation_go_multitask/resolve/main/flax_model.msgpack
892 MB
- Xet hash:
- 28adbc233465b9e5196ab5b439d7125abfd05c570c78cb426924cf31f1f42ac3
- Size of remote file:
- 892 MB
- SHA256:
- d40b3b1bc74a2ce5cdfe2647917da81ee758e857d74c51dd3ec6d67a7d262ad3
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