Instructions to use AISE-TUDelft/Custom-Activations-BERT-Adaptive-GELU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AISE-TUDelft/Custom-Activations-BERT-Adaptive-GELU with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AISE-TUDelft/Custom-Activations-BERT-Adaptive-GELU")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("AISE-TUDelft/Custom-Activations-BERT-Adaptive-GELU", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca388b6f26098ee4a6df7087940a6b319223fcdbeebe084d61d6165ec7476422
- Size of remote file:
- 39.5 MB
- SHA256:
- 1bdb7889f635cc5a94bdec1d0e789fdf177a53008ab810c1ab6867941cf9ee2e
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