Instructions to use facebook/mbart-large-50-many-to-one-mmt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mbart-large-50-many-to-one-mmt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/mbart-large-50-many-to-one-mmt") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/mbart-large-50-many-to-one-mmt") - Notebooks
- Google Colab
- Kaggle
missing translational char
#11
by wintrue - opened
hello,This is my problem:
input:一个女孩,[全身],长头发,美丽的,写真,特写,近景,写实,高质量,微笑,长裙 , <lora:add_detail:1>
output:a girl, [whole body], long hair, beautiful, photo, special, close-up, real, high quality, smile, long skirt
Why is it missing <lora:add detail:1> ?
how can i do ?