# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("NLP-EXP/QSR")
model = AutoModelForMaskedLM.from_pretrained("NLP-EXP/QSR", device_map="auto")Quick Links
The QARiB-Sentiment-Reviews (QSR) Model is a QARiB language model that was further pre-trained for 300,000 training steps and roughly 26 epochs using sentiment review dataset (involves over 751,000 reviews).
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NLP-EXP/QSR")