Instructions to use abdouaziiz/soraberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdouaziiz/soraberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="abdouaziiz/soraberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("abdouaziiz/soraberta") model = AutoModelForMaskedLM.from_pretrained("abdouaziiz/soraberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d30c081df74b1bce5dfcba796c27738cef659ca8ad827b9a0af5aa29f48266f2
- Size of remote file:
- 2.74 kB
- SHA256:
- 1ded5d4a3dff94c36fbc4a0877c853fc77aca292bba854846c43ded6085af0b9
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