How to use quanqnv19/VN-Sentiment-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="quanqnv19/VN-Sentiment-Classification")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("quanqnv19/VN-Sentiment-Classification") model = AutoModelForSequenceClassification.from_pretrained("quanqnv19/VN-Sentiment-Classification", device_map="auto")
https://huggingface.co/quanqnv19/VN-Sentiment-Classification/resolve/refs%2Fpr%2F1/tokenizer.json
hf download hf://quanqnv19/VN-Sentiment-Classification@refs/pr/1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/quanqnv19/VN-Sentiment-Classification/resolve/refs%2Fpr%2F1/tokenizer.json
