How to use shorecode/t5-efficient-tiny-summarizer-general-purpose-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shorecode/t5-efficient-tiny-summarizer-general-purpose-v2") model = AutoModelForSeq2SeqLM.from_pretrained("shorecode/t5-efficient-tiny-summarizer-general-purpose-v2", device_map="auto")
https://huggingface.co/shorecode/t5-efficient-tiny-summarizer-general-purpose-v2/resolve/bf1afb8abc4fa4dfd8cfefc858210ddf274b1fd6/checkpoint-2000/tokenizer.json
hf download hf://shorecode/t5-efficient-tiny-summarizer-general-purpose-v2@bf1afb8abc4fa4dfd8cfefc858210ddf274b1fd6/checkpoint-2000/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/shorecode/t5-efficient-tiny-summarizer-general-purpose-v2/resolve/bf1afb8abc4fa4dfd8cfefc858210ddf274b1fd6/checkpoint-2000/tokenizer.json
