Instructions to use NLP-EXP/QSR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NLP-EXP/QSR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NLP-EXP/QSR")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NLP-EXP/QSR") model = AutoModelForMaskedLM.from_pretrained("NLP-EXP/QSR") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("NLP-EXP/QSR")
model = AutoModelForMaskedLM.from_pretrained("NLP-EXP/QSR")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")