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README.md |
The model can be loaded and used as follows on this branch as follows.
Load model
from transformers import RagTokenizer, RagTokenForGeneration, RagRetriever
# create Retriever augmented model
retriever = RagRetriever.from_pretrained("facebook/rag-token-nq_new", use_dummy_dataset=True)
model = RagTokenForGeneration.from_pretrained("facebook/rag-token-nq_new", retriever=retriever)
tokenizer = RagTokenizer.from_pretrained("facebook/rag-token-nq_new")
# create input ids and labels
input_ids = tokenizer("who sings does he love me with reba", return_tensors="pt").input_ids
# use labels
labels = tokenizer.generator("Linda Davis", return_tensors="pt").input_ids
# compute loss
outputs = model(input_ids, labels=labels)