Instructions to use pere/roberta-base-scand with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pere/roberta-base-scand with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pere/roberta-base-scand")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pere/roberta-base-scand") model = AutoModelForMaskedLM.from_pretrained("pere/roberta-base-scand") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17450d9d5154874315f014bbb727b257f67f4f7d7d8c1dd49b7b71ebde4a6882
- Size of remote file:
- 1.11 GB
- SHA256:
- 5c13e7dac113755d076f1a0609e677b9e8bf73f698ed67e373c8ec74e4e64751
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