# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("NLP-EXP/QE6")
model = AutoModelForMaskedLM.from_pretrained("NLP-EXP/QE6")Quick Links
The QARiB-Emotion-600k (QE6) model was trained by continuing the training from the last checkpoint of the QE3 model using the emotion tweets dataset (roughly 1.2 million tweets). The QE6 model trained for an additional 300k steps (600k in total including the QE3 training steps) and around 31 epochs.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NLP-EXP/QE6")