Instructions to use ixa-ehu/roberta-eus-euscrawl-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ixa-ehu/roberta-eus-euscrawl-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ixa-ehu/roberta-eus-euscrawl-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ixa-ehu/roberta-eus-euscrawl-base-cased") model = AutoModelForMaskedLM.from_pretrained("ixa-ehu/roberta-eus-euscrawl-base-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb5b18f035eb1d42009b08e4a887e47f1abface7c7fb3ab03e944c71954a692d
- Size of remote file:
- 498 MB
- SHA256:
- eee53e286034613b15286109766f1503eebc99171829d9d25f3bb397ae3aad0f
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