How to use hf-tiny-model-private/tiny-random-T5ForConditionalGeneration with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-T5ForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-T5ForConditionalGeneration", device_map="auto")
https://huggingface.co/hf-tiny-model-private/tiny-random-T5ForConditionalGeneration/resolve/a26b69d6caa0ca9f613cd9a94e683becdb2c7d8e/tokenizer.json
hf download hf://hf-tiny-model-private/tiny-random-T5ForConditionalGeneration@a26b69d6caa0ca9f613cd9a94e683becdb2c7d8e/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/hf-tiny-model-private/tiny-random-T5ForConditionalGeneration/resolve/a26b69d6caa0ca9f613cd9a94e683becdb2c7d8e/tokenizer.json
