Fill-Mask
Transformers
PyTorch
Safetensors
xlm-roberta
roberta
icelandic
norwegian
faroese
danish
swedish
masked-lm
Instructions to use vesteinn/ScandiBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vesteinn/ScandiBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vesteinn/ScandiBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vesteinn/ScandiBERT") model = AutoModelForMaskedLM.from_pretrained("vesteinn/ScandiBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Change `tokenizer_class` to "PreTrainedTokenizerFast" (#2)
- Change `tokenizer_class` to "PreTrainedTokenizerFast" (161dce95643675c6d1016ecc9f0fcac25a8440d4) Co-authored-by: Dan Saattrup Smart <saattrupdan@users.noreply.huggingface.co>547e994
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (54daa270ecf77148ce76b304f105d8782ccd289c) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>e833969
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