# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Language-Media-Lab/mt5-small-ain-jpn-mt")
model = AutoModelForSeq2SeqLM.from_pretrained("Language-Media-Lab/mt5-small-ain-jpn-mt")Quick Links
mt5-small-ain-jpn-mt is a machine translation model pretrained with Google's mT5-small and fine-tuned on bilingual datasets crawled from the Web. It translates Ainu language to Japanese.
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# 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="Language-Media-Lab/mt5-small-ain-jpn-mt")