Helsinki-NLP/kde4
Updated โข 306 โข 28
How to use BanUrsus/marian-finetuned-kde4-en-to-de-translator_nlp-course-chapter7-section3 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="BanUrsus/marian-finetuned-kde4-en-to-de-translator_nlp-course-chapter7-section3") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("BanUrsus/marian-finetuned-kde4-en-to-de-translator_nlp-course-chapter7-section3")
model = AutoModelForSeq2SeqLM.from_pretrained("BanUrsus/marian-finetuned-kde4-en-to-de-translator_nlp-course-chapter7-section3", device_map="auto")This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-de on the kde4 dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
Base model
Helsinki-NLP/opus-mt-en-de