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# Run M2M100-1.2B model on sample text. We use FP16 precision, which requires a GPU with a lot of VRAM (i.e NVIDIA A100) | |
# For running this model in customer grade GPUs, use 8-bit quantization, see examples/m2m100-12B_8bit.sh | |
python3 translate.py \ | |
--sentences_path sample_text/en.txt \ | |
--output_path sample_text/en2es.translation.m2m100_12B.txt \ | |
--source_lang en \ | |
--target_lang es \ | |
--model_name facebook/m2m100-12B-avg-5-ckpt \ | |
--precision fp16 |