Instructions to use formulae/reBERT-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use formulae/reBERT-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="formulae/reBERT-multilingual")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("formulae/reBERT-multilingual") model = AutoModelForMaskedLM.from_pretrained("formulae/reBERT-multilingual") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a77a5c75b1e8077c49c67e323d343f0d4ffd1bf14b309af758170a36df1d56c6
- Size of remote file:
- 1.83 GB
- SHA256:
- 27d879cfdc14e60ff432b70534b82af4efeb0def4c0ef1615c9cc423d9c9ab6c
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