Instructions to use kktoto/wwdd_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kktoto/wwdd_tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kktoto/wwdd_tiny")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kktoto/wwdd_tiny") model = AutoModelForTokenClassification.from_pretrained("kktoto/wwdd_tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3430b243fab0282d5a8afecef381c39f6a753fc0834d5750a774f334e1ba6e75
- Size of remote file:
- 3.18 kB
- SHA256:
- 6911c916b3d548bd554c243339a59a18fa5032c3a40cacd3d815ba8dd74c1931
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