Text Classification
Transformers
Safetensors
Korean
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Doowon96/bert-base-finetuned-ynat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Doowon96/bert-base-finetuned-ynat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Doowon96/bert-base-finetuned-ynat")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Doowon96/bert-base-finetuned-ynat") model = AutoModelForSequenceClassification.from_pretrained("Doowon96/bert-base-finetuned-ynat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89c1ed17e6e0d3f819427f1970296c1e815e2c281cbaba972f0bd4e86ea0a6fa
- Size of remote file:
- 4.73 kB
- SHA256:
- 185884df1614b0552795213155dd59621bd6ecbfd58643aadc676456a6f4c005
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