# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("adam-chell/tweet-sentiment-analyzer")
model = AutoModelForSequenceClassification.from_pretrained("adam-chell/tweet-sentiment-analyzer")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
This model has been trained by fine-tuning a BERTweet sentiment classification model named "finiteautomata/bertweet-base-sentiment-analysis", on a labeled positive/negative dataset of tweets.
email : adam.chellaoui@epfl.ch
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adam-chell/tweet-sentiment-analyzer")