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") - Inference
- Notebooks
- Google Colab
- Kaggle
Set tokenizer "model_max_length" property to 16384
#1
by yjoonjang - opened
Thank you so much for pointing this out and suggesting the fix! I really appreciate your careful review.
Minsang changed pull request status to merged