Instructions to use IMJONEZZ/SlovenBERTcina with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IMJONEZZ/SlovenBERTcina with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="IMJONEZZ/SlovenBERTcina")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("IMJONEZZ/SlovenBERTcina") model = AutoModelForMaskedLM.from_pretrained("IMJONEZZ/SlovenBERTcina") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0c714ac82131dc999bfa66f945927d39256c65547f806a63b0d98507ee4c51f
- Size of remote file:
- 2.42 kB
- SHA256:
- 3d35089d0c3a6b47b1c8df0ddfa08b310484c437d7fde3fd7b723448ffc0097d
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