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:
- ca3a2c785f526f162d5d996a0772b38300ff0faac25ea7e8bc3b970db89abdf8
- Size of remote file:
- 496 MB
- SHA256:
- d138ec13ee3aebde21a3de67034c338b8d05f368d97b8f37850825c63b5fc30e
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