jerin/pib
Updated • 222 • 3
How to use vasudevgupta/mbart-bhasha-guj-eng with Transformers:
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("vasudevgupta/mbart-bhasha-guj-eng")
model = AutoModelForSeq2SeqLM.from_pretrained("vasudevgupta/mbart-bhasha-guj-eng")mBART (a pre-trained model by Facebook) is pre-trained to de-noise multiple languages simultaneously with BART objective.
Checkpoint available in this repository is obtained after fine-tuning facebook/mbart-large-cc25 on all samples (~60K) from Bhasha (pib_v1.3) Gujarati-English parallel corpus. This checkpoint gives decent results for Gujarati-english translation.