Instructions to use gogamza/kobart-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gogamza/kobart-base-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="gogamza/kobart-base-v1")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("gogamza/kobart-base-v1") model = AutoModel.from_pretrained("gogamza/kobart-base-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7abd22fede4252291b1807fdc19e04aebe43ffbc7bf6ce431c152b8599417a3d
- Size of remote file:
- 495 MB
- SHA256:
- 693b972808fcfadcb3c763c29d8ab9f58c5c6220c01fbabc0cf2e3fb713e3865
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