Instructions to use flax-community/roberta-large-swedish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/roberta-large-swedish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="flax-community/roberta-large-swedish")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("flax-community/roberta-large-swedish") model = AutoModelForMaskedLM.from_pretrained("flax-community/roberta-large-swedish") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e291a52cd6f059557366d8eaf4b9ee28bafbd057064ac5174032820783b1394
- Size of remote file:
- 499 MB
- SHA256:
- bd895a5b49d635805fc02b2c84dd21f9d9ca632a0256bcdf4120077cba991559
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