Instructions to use Morgan9803/roberta-base-klue-ynat-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Morgan9803/roberta-base-klue-ynat-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Morgan9803/roberta-base-klue-ynat-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Morgan9803/roberta-base-klue-ynat-classification") model = AutoModelForSequenceClassification.from_pretrained("Morgan9803/roberta-base-klue-ynat-classification") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
95d0e60 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e9c0ab9693378195bb3642678e9a6c180bd1e6c5f49eea1d3905980c9512c933
size 442514444
|