Instructions to use MoseliMotsoehli/JoBerta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MoseliMotsoehli/JoBerta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="MoseliMotsoehli/JoBerta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("MoseliMotsoehli/JoBerta") model = AutoModelForMaskedLM.from_pretrained("MoseliMotsoehli/JoBerta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e96bfceab29fa270839f576e06a00b8993d7e3955abc57bc1f07859b2c5ce1d5
- Size of remote file:
- 242 MB
- SHA256:
- dee5e1ee941150d5e7bc9fd0a1643deacf19f223d16450ba7ce96f1a6f281fb2
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