Instructions to use mrm8488/RuPERTa-base-finetuned-spa-constitution with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/RuPERTa-base-finetuned-spa-constitution with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mrm8488/RuPERTa-base-finetuned-spa-constitution")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/RuPERTa-base-finetuned-spa-constitution") model = AutoModelForMaskedLM.from_pretrained("mrm8488/RuPERTa-base-finetuned-spa-constitution") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1dfd45df3ad4d473a97e0219819840989d0f5a751358c48b9e4aeb6b5463a81
- Size of remote file:
- 504 MB
- SHA256:
- 76d2bacf87653c7a5e65499aee0d4e4846f8569729a81629d565c796f7f7df12
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