Instructions to use skt/kobert-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skt/kobert-base-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="skt/kobert-base-v1")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("skt/kobert-base-v1") model = AutoModel.from_pretrained("skt/kobert-base-v1") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37b7999735cd0d73a21c553f0e565e080712d5c9dc0378cf4486d7ff45f18395
- Size of remote file:
- 369 MB
- SHA256:
- 2f9eedddf12d532d05a2e60940a0e8429af7e4339a445e0684bcdac4023bc9c7
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