Instructions to use FINDA-FIT/KLUE-ROBERTA_BASE_FALSE_KOABSA_FALSE_FULL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FINDA-FIT/KLUE-ROBERTA_BASE_FALSE_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_FALSE_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_FALSE_KOABSA_FALSE_FULL") model = AutoModelForSequenceClassification.from_pretrained("FINDA-FIT/KLUE-ROBERTA_BASE_FALSE_KOABSA_FALSE_FULL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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initial commit
Hanwool Albert Leee8a51bb