How to use FINDA-FIT/KLUE-ROBERTA_BASE_TRUE_KOABSA_FALSE_FULL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FINDA-FIT/KLUE-ROBERTA_BASE_TRUE_KOABSA_FALSE_FULL")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FINDA-FIT/KLUE-ROBERTA_BASE_TRUE_KOABSA_FALSE_FULL") model = AutoModelForSequenceClassification.from_pretrained("FINDA-FIT/KLUE-ROBERTA_BASE_TRUE_KOABSA_FALSE_FULL", device_map="auto")
https://huggingface.co/FINDA-FIT/KLUE-ROBERTA_BASE_TRUE_KOABSA_FALSE_FULL/resolve/main/tokenizer.json
hf download hf://FINDA-FIT/KLUE-ROBERTA_BASE_TRUE_KOABSA_FALSE_FULL/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/FINDA-FIT/KLUE-ROBERTA_BASE_TRUE_KOABSA_FALSE_FULL/resolve/main/tokenizer.json
