Fill-Mask
Transformers
Safetensors
Korean
deberta-v2
diffusion
text-generation
korean
deberta
masked-language-model
experimental
Instructions to use solonsophy/kf-deberta-gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use solonsophy/kf-deberta-gen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="solonsophy/kf-deberta-gen")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("solonsophy/kf-deberta-gen") model = AutoModelForMaskedLM.from_pretrained("solonsophy/kf-deberta-gen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 621ac041c871e943ce33aca18c57f2cc107c58b7bf7254251513ad20e3b3051a
- Size of remote file:
- 744 MB
- SHA256:
- f7c934f89d01f35a8abfebcabf6e475e383900d2ee4bd78af3626216273d0e2c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.