Model Card for Model ID

This model is meant to extract sentiments (positive, negative, or neutral) from a tweet text.

• Model type: text-classification
• Language(s) (NLP): English
• License: cc
• Finetuned from model: BERT

Training Details

This model is a fine-tuned version of the BERT model.

Training Data

Trained on tweet_eval from HuggingFace Hub.

How to Get Started with the Model

Note: model inputs were tokenized using bert-base-uncased tokenizer

from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
model = AutoModelForSequenceClassification.from_pretrained("mayapapaya/Sentiment-Analyzer")