Instructions to use Elbe/RoBERTaforIns with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elbe/RoBERTaforIns with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Elbe/RoBERTaforIns")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Elbe/RoBERTaforIns") model = AutoModelForMaskedLM.from_pretrained("Elbe/RoBERTaforIns") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfac264844a6aa6ed012b8cdd7f737276f426c89cae6666f2bf85d0b1601d2fa
- Size of remote file:
- 266 MB
- SHA256:
- cc0873df40167b40d6fb1cc2d36eeac7205566e666461c929f00910c4a3586e1
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