How to use SEBIS/code_trans_t5_small_code_documentation_generation_javascript_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_code_documentation_generation_javascript_multitask")
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_small_code_documentation_generation_javascript_multitask") model = AutoModel.from_pretrained("SEBIS/code_trans_t5_small_code_documentation_generation_javascript_multitask", device_map="auto")
https://huggingface.co/SEBIS/code_trans_t5_small_code_documentation_generation_javascript_multitask/resolve/df76e0ca04c0c7324d2209ca2ae6879d97be2104/spiece.model
hf download hf://SEBIS/code_trans_t5_small_code_documentation_generation_javascript_multitask@df76e0ca04c0c7324d2209ca2ae6879d97be2104/spiece.model
curl -L -o spiece.model https://huggingface.co/SEBIS/code_trans_t5_small_code_documentation_generation_javascript_multitask/resolve/df76e0ca04c0c7324d2209ca2ae6879d97be2104/spiece.model
