How to use hf-tiny-model-private/tiny-random-PegasusXForConditionalGeneration 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-PegasusXForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-PegasusXForConditionalGeneration", device_map="auto")
https://huggingface.co/hf-tiny-model-private/tiny-random-PegasusXForConditionalGeneration/resolve/cd1fa0ca2d387e6aed9bf15ab2cf848bf62c8673/tokenizer.json
hf download hf://hf-tiny-model-private/tiny-random-PegasusXForConditionalGeneration@cd1fa0ca2d387e6aed9bf15ab2cf848bf62c8673/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/hf-tiny-model-private/tiny-random-PegasusXForConditionalGeneration/resolve/cd1fa0ca2d387e6aed9bf15ab2cf848bf62c8673/tokenizer.json
