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:
- d5ef80ce3cb4daba479c353ffe9a803273761526efa5b63ab2cce6e70be7c47f
- Size of remote file:
- 334 MB
- SHA256:
- 018bec4794af885ff664488f1a96707dd1fbb59c8eec2da0981b3cf789f16fc4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.