How to use ArnavL/twteval-pretrained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ArnavL/twteval-pretrained")
# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ArnavL/twteval-pretrained") model = AutoModelForMaskedLM.from_pretrained("ArnavL/twteval-pretrained")
BASE MODEL : BERT-BASE-UNCASED
DATASET : TWTEVAL SENTIMENT
