Instructions to use pdelobelle/robBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pdelobelle/robBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pdelobelle/robBERT-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pdelobelle/robBERT-base") model = AutoModelForMaskedLM.from_pretrained("pdelobelle/robBERT-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9206f364c5aad7f0b38498f75c260e839e554a24acb46e37976b32546e4bf0ed
- Size of remote file:
- 499 MB
- SHA256:
- 0cbbfd140a2849a6c36dcca8ee7bd37aaf12043e45f0a7d61b62afbf2bd5e8f0
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