Instructions to use Bnaad/PARENT_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bnaad/PARENT_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Bnaad/PARENT_bert")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Bnaad/PARENT_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d1bfec078d0296f372575686cccd7a715c540c75e8c68805bfc5d4b26be0504
- Size of remote file:
- 438 MB
- SHA256:
- 9c58d6930f1b2f5d86b6828c8ee95ac4f73ec2ca88ffaf389f276f7dc0736fa3
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