How to use ybelkada/tiny-random-T5ForConditionalGeneration-calibrated with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ybelkada/tiny-random-T5ForConditionalGeneration-calibrated") model = AutoModelForSeq2SeqLM.from_pretrained("ybelkada/tiny-random-T5ForConditionalGeneration-calibrated", device_map="auto")
https://huggingface.co/ybelkada/tiny-random-T5ForConditionalGeneration-calibrated/resolve/main/README.md
hf download hf://ybelkada/tiny-random-T5ForConditionalGeneration-calibrated/README.md
curl -L -o README.md https://huggingface.co/ybelkada/tiny-random-T5ForConditionalGeneration-calibrated/resolve/main/README.md
A "better calibrated" tiny T5 model for testing purposes
