How to use KETI-AIR-Downstream/long-ke-t5-base-translation-aihub-ko2en with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="KETI-AIR-Downstream/long-ke-t5-base-translation-aihub-ko2en")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KETI-AIR-Downstream/long-ke-t5-base-translation-aihub-ko2en") model = AutoModelForSeq2SeqLM.from_pretrained("KETI-AIR-Downstream/long-ke-t5-base-translation-aihub-ko2en", device_map="auto")
https://huggingface.co/KETI-AIR-Downstream/long-ke-t5-base-translation-aihub-ko2en/resolve/main/tokenizer.json
hf download hf://KETI-AIR-Downstream/long-ke-t5-base-translation-aihub-ko2en/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/KETI-AIR-Downstream/long-ke-t5-base-translation-aihub-ko2en/resolve/main/tokenizer.json
