Instructions to use SEBIS/code_trans_t5_small_program_synthese_multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SEBIS/code_trans_t5_small_program_synthese_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_small_program_synthese_multitask")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_small_program_synthese_multitask") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_small_program_synthese_multitask") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3 opened over 2 years ago
by
SFconvertbot
Upload README.md with huggingface_hub
#2 opened over 3 years ago
by
lbourdois