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
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2b31d48fa19aaa41b2f15deccb8e95f0bf23ecba835022bda113dc94606b70c7
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size 1829858748
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