Instructions to use erica/kob400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use erica/kob400 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="erica/kob400")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("erica/kob400") model = AutoModelForMaskedLM.from_pretrained("erica/kob400") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7950eb36978688019131a39124d8a09db26f096c179acdd1c9be2928b0aae53
- Size of remote file:
- 369 MB
- SHA256:
- b014ead6e9f261331636af8bfd40c89e6f768b85fa3335792ccb1ff95ea6a6e5
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