Instructions to use Buseak/penn_berturk_0203 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Buseak/penn_berturk_0203 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Buseak/penn_berturk_0203")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Buseak/penn_berturk_0203") model = AutoModelForTokenClassification.from_pretrained("Buseak/penn_berturk_0203") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fa94cee4aa634180f1bed414c0a0c6a2d4936e47599bcbb71ffb062163e56c3
- Size of remote file:
- 3.52 kB
- SHA256:
- 0f067286545168c8855af258eb0f8b29e1760625ba20db02b01c66bb59360e1d
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