Instructions to use Han00l/kobert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Han00l/kobert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Han00l/kobert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Han00l/kobert") model = AutoModelForSequenceClassification.from_pretrained("Han00l/kobert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58cc1bf50d561e35b603f4e70d742f426959bd998a769a20682d3d1055087e98
- Size of remote file:
- 5.2 kB
- SHA256:
- 6504f2e2230a684fa0afac42bda4e814eda79f5294e9978b7856fe4f3a44f37a
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