How to use tabularisai/multilingual-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tabularisai/multilingual-sentiment-analysis")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tabularisai/multilingual-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("tabularisai/multilingual-sentiment-analysis", device_map="auto")
https://huggingface.co/tabularisai/multilingual-sentiment-analysis/resolve/refs%2Fpr%2F6/tokenizer.json
hf download hf://tabularisai/multilingual-sentiment-analysis@refs/pr/6/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/tabularisai/multilingual-sentiment-analysis/resolve/refs%2Fpr%2F6/tokenizer.json
