Instructions to use SEBIS/code_trans_t5_large_api_generation_multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SEBIS/code_trans_t5_large_api_generation_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_large_api_generation_multitask")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_large_api_generation_multitask") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_large_api_generation_multitask", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload README.md with huggingface_hub
f5f2413
-
upload flax model
facb8cc -
allow flax
9928d81
-
Update README.md
afd9cea
-
Update from weiding
weif4ad8ea -
initial commit
97a293e