Transformers How to use SEBIS/code_trans_t5_large_source_code_summarization_csharp_transfer_learning_finetune 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_source_code_summarization_csharp_transfer_learning_finetune") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("SEBIS/code_trans_t5_large_source_code_summarization_csharp_transfer_learning_finetune")
model = AutoModel.from_pretrained("SEBIS/code_trans_t5_large_source_code_summarization_csharp_transfer_learning_finetune", device_map="auto") 
