Instructions to use mohammadmahdinouri/modernAlbert-4-init with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohammadmahdinouri/modernAlbert-4-init with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mohammadmahdinouri/modernAlbert-4-init")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("mohammadmahdinouri/modernAlbert-4-init", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f621d9404831b5867c86e621fdf638c6a2e2fbabdbc6d633347e8be8938d516
- Size of remote file:
- 410 MB
- SHA256:
- 51fa5703d254a4440e81f92c67a3c0c108bd914435f68aea052eadb8bafdc815
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