Instructions to use PleIAs/Segmentext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PleIAs/Segmentext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="PleIAs/Segmentext")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("PleIAs/Segmentext") model = AutoModelForTokenClassification.from_pretrained("PleIAs/Segmentext") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 806146ca70c600db3aefae2dd04c47be59361e32da72c17c217745b112c257a8
- Size of remote file:
- 5.18 kB
- SHA256:
- c7b75426f22071a3597d193e00a877fdf4150f52c7987cd6705e72880ae6de2a
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