SemEvalWorkshop/sem_eval_2018_task_1
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How to use paritc/multilabelclassification with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="paritc/multilabelclassification") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("paritc/multilabelclassification")
model = AutoModelForSequenceClassification.from_pretrained("paritc/multilabelclassification")Base model
google-bert/bert-base-uncased