Text Classification
Transformers
Safetensors
Korean
English
xlm-roberta
name-gender
korean
multilingual
text-embeddings-inference
Instructions to use solonsophy/name-gender-classifier-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use solonsophy/name-gender-classifier-ko with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="solonsophy/name-gender-classifier-ko")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("solonsophy/name-gender-classifier-ko") model = AutoModelForSequenceClassification.from_pretrained("solonsophy/name-gender-classifier-ko") - Notebooks
- Google Colab
- Kaggle
Upload model.safetensors with huggingface_hub
Browse files- model.safetensors +3 -0
model.safetensors
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