Text Classification
Transformers
Safetensors
exaone4
text-generation
exaone
lora
finetune
korean
tagger
Instructions to use FloatDo/exaone-4.0-1.2b-float-right-tagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FloatDo/exaone-4.0-1.2b-float-right-tagger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FloatDo/exaone-4.0-1.2b-float-right-tagger")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("FloatDo/exaone-4.0-1.2b-float-right-tagger") model = AutoModelForCausalLM.from_pretrained("FloatDo/exaone-4.0-1.2b-float-right-tagger") - Notebooks
- Google Colab
- Kaggle
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README.md
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license: other
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base_model: LGAI-EXAONE/EXAONE-4.0-1.2B
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tags:
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- exaone
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---
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license: other
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license_name: exaone
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license_link: https://huggingface.co/LGAI-EXAONE/EXAONE-Deep-2.4B/blob/main/LICENSE
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base_model: LGAI-EXAONE/EXAONE-4.0-1.2B
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tags:
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- exaone
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