How to use WindstormLabs/origin-Helsinki-NLP-opus-mt-tc-bible-big-deu_eng_fra_por_spa-mul 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="WindstormLabs/origin-Helsinki-NLP-opus-mt-tc-bible-big-deu_eng_fra_por_spa-mul")
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindstormLabs/origin-Helsinki-NLP-opus-mt-tc-bible-big-deu_eng_fra_por_spa-mul") model = AutoModelForSeq2SeqLM.from_pretrained("WindstormLabs/origin-Helsinki-NLP-opus-mt-tc-bible-big-deu_eng_fra_por_spa-mul", device_map="auto")
Create short AI videos from text or first and last frames, with synchronized dialogue, effects, and ambience.
