| from transformers import T5ForConditionalGeneration, T5Tokenizer | |
| from huggingface_hub import login | |
| # Log in to Hugging Face (optional, only if model access requires authentication) | |
| hf_token = "YOUR_HF_TOKEN" # Replace with your Hugging Face token | |
| login(token=hf_token) | |
| # Download and save model and tokenizer | |
| model = T5ForConditionalGeneration.from_pretrained('t5-small') | |
| tokenizer = T5Tokenizer.from_pretrained('t5-small') | |
| model.save_pretrained('./t5_small_weights') | |
| tokenizer.save_pretrained('./t5_small_weights') | |
| print("T5-small model and tokenizer downloaded and saved to './t5_small_weights'") |