Instructions to use FINDA-FIT/KLUE-ROBERTA_BASE_FALSE_KOABSA_FALSE_FULL_FINETUNE 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_FINETUNE 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_FINETUNE")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FINDA-FIT/KLUE-ROBERTA_BASE_FALSE_KOABSA_FALSE_FULL_FINETUNE") model = AutoModelForSequenceClassification.from_pretrained("FINDA-FIT/KLUE-ROBERTA_BASE_FALSE_KOABSA_FALSE_FULL_FINETUNE") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:adbba406fef40e461d36c692fabac614bd89240e1bd8cb45e9861ccdd0580b2b
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size 442513092
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