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