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")
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