Instructions to use Addedk/mbert-swedish-distilled-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Addedk/mbert-swedish-distilled-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Addedk/mbert-swedish-distilled-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Addedk/mbert-swedish-distilled-cased") model = AutoModelForMaskedLM.from_pretrained("Addedk/mbert-swedish-distilled-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ba6ba58ba146a2422c076a262dd9dc82e669917ccdf9e1b0a507b11360624e6
- Size of remote file:
- 542 MB
- SHA256:
- 502b4516531faca682111981fcf5d716f4c7c7bcb397ef7e991ef2c4dacf416f
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