# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("VIOLET21/sentiment-bert-tweet")
model = AutoModelForSequenceClassification.from_pretrained("VIOLET21/sentiment-bert-tweet", device_map="auto")Quick Links
Sentiment BERT Tweet
A BERT model fine-tuned for Indonesian tweet sentiment classification.
This model classifies tweets into three sentiment categories:
- Positive
- Negative
- Neutral
How to Use
from transformers import pipeline
model = pipeline("text-classification", model="VIOLET21/sentiment-bert-tweet")
result = model("Saya sangat senang hari ini!")
print(result)
- Downloads last month
- 4
Model tree for VIOLET21/sentiment-bert-tweet
Base model
indobenchmark/indobert-base-p1
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VIOLET21/sentiment-bert-tweet")