IWSLT/mt_eng_vietnamese
Updated • 458 • 30
How to use ntclai/en_vi_translation_1 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="ntclai/en_vi_translation_1") # Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("ntclai/en_vi_translation_1")
model = AutoModelForSeq2SeqLM.from_pretrained("ntclai/en_vi_translation_1")This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-vi on the mt_eng_vietnamese dataset. It achieves the following results on the evaluation set:
Loss: 1.376056
Bleu: 34.515300
Gen Len: 27.230600