Instructions to use beomi/beep-kcbert-base-bias with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beomi/beep-kcbert-base-bias with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="beomi/beep-kcbert-base-bias")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("beomi/beep-kcbert-base-bias") model = AutoModelForSequenceClassification.from_pretrained("beomi/beep-kcbert-base-bias") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb482a31b0a5637c288cf511ea6291fd734f90b4100bc35bd550a7693721b191
- Size of remote file:
- 436 MB
- SHA256:
- 40d762b303738be7b3fa22a483ee81edd6b24514f65a39c42f775d35af55b80d
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