Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use joonion/roberta-base-klue-ynat-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joonion/roberta-base-klue-ynat-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joonion/roberta-base-klue-ynat-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joonion/roberta-base-klue-ynat-classification") model = AutoModelForSequenceClassification.from_pretrained("joonion/roberta-base-klue-ynat-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52e49da87706f4df2c2a6c615a22d13cecab4e618353a58ad7bb35ce0e5d5e4a
- Size of remote file:
- 5.14 kB
- SHA256:
- 45581dce5d9feb4c2751b42df7238ce31dd279d5bd45cb1ac49ca4efbca53d63
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