Instructions to use helboukkouri/character-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use helboukkouri/character-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="helboukkouri/character-bert", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("helboukkouri/character-bert", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 474d12595231272630a5f9bfb7d61b8034a1dff9124f65221f3ecc07bb3125c0
- Size of remote file:
- 728 MB
- SHA256:
- ece0a0396cc31225ee75a56b46ad584dd566206098f218b1f8fc06ae0da55c81
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