Instructions to use ajders/nl_electra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ajders/nl_electra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ajders/nl_electra")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ajders/nl_electra") model = AutoModelForMaskedLM.from_pretrained("ajders/nl_electra") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f814086a666eef1c0a66ec273341e60ccc0c5c70650fa56bad54d845a36aeb59
- Size of remote file:
- 54 MB
- SHA256:
- 6f48b72fd9e9a81ab9cfed080e1fd20e69b424c5b0190dd5b654cc74d223a85a
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