Instructions to use AISE-TUDelft/Custom-Activations-BERT-PReLU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AISE-TUDelft/Custom-Activations-BERT-PReLU with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AISE-TUDelft/Custom-Activations-BERT-PReLU")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("AISE-TUDelft/Custom-Activations-BERT-PReLU", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9361159f6a380afa9abf1da3358de4f2860edec7a568f3f8f6dfb49f2190c6ec
- Size of remote file:
- 39.5 MB
- SHA256:
- c8c7353823aeffa0d7a4382c355d352055bcffa1cdbf7fc73f350f504c72b72d
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