Instructions to use Andrija/SRoBERTa-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andrija/SRoBERTa-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Andrija/SRoBERTa-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Andrija/SRoBERTa-base") model = AutoModelForMaskedLM.from_pretrained("Andrija/SRoBERTa-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add "multilingual" to the language tag (#1)
- Add "multilingual" to the language tag (a2f6a8b978d5371965c735f7f2bc33cf10228f06) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>08be938
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SRoBERTa Oscar + Leipzig trained 2.9 GB , 3 epochs perplexity 812 eval_loss 6.7 loss 6.7
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