Instructions to use townboy/kpfbert-kdpii with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use townboy/kpfbert-kdpii with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="townboy/kpfbert-kdpii")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("townboy/kpfbert-kdpii") model = AutoModelForTokenClassification.from_pretrained("townboy/kpfbert-kdpii") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3fa243c3d7109cfcd63b269a23edff7ab9562124c8be8d9471ae94efdd9e38c
- Size of remote file:
- 5.2 kB
- SHA256:
- 9c0b4a49a3fec275868eda128792ba9faedc2b3df1311ed4ba26b983c2187953
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