Instructions to use ClassCat/roberta-small-basque with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ClassCat/roberta-small-basque with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ClassCat/roberta-small-basque")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ClassCat/roberta-small-basque") model = AutoModelForMaskedLM.from_pretrained("ClassCat/roberta-small-basque", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7825eb08e54aff83bc784ae69c27b79cc8685d501e2df3964aa9b726062d7f76
- Size of remote file:
- 206 MB
- SHA256:
- c39899103339408209cba202aa73703647322244d55ce931ad63d681f1216e12
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