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")# 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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:22bf14592c558e7eb2d0acc2bd6cbcf777d64ed593401504cb379d40d3e6752a
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size 442513092
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