Text Classification
Transformers
Safetensors
English
Korean
modernbert
fill-mask
Eval Results (legacy)
text-embeddings-inference
Instructions to use skt/A.X-Encoder-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skt/A.X-Encoder-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="skt/A.X-Encoder-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("skt/A.X-Encoder-base") model = AutoModelForMaskedLM.from_pretrained("skt/A.X-Encoder-base") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 229fb8a2ef7618e62ac19bcfa09734da438b10c7ae9939531c9da9f0e06c2c64
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- 295 kB
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- 21ec0df2dd257b805f6beb236a0e873a754d9f23fb4ed834fcf470d8ed054a71
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