Instructions to use SEBIS/code_trans_t5_base_api_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SEBIS/code_trans_t5_base_api_generation 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_api_generation")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_base_api_generation") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_base_api_generation") - Notebooks
- Google Colab
- Kaggle
add the information about the base model
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by zyangcode - opened
README.md
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base_model: google-t5/t5-base
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