Instructions to use sawyerhu/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sawyerhu/test_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sawyerhu/test_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sawyerhu/test_model") model = AutoModelForTokenClassification.from_pretrained("sawyerhu/test_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbb21909009a36a457a6afe0a22226a680e8549fc3d3c0769284c3ba8371ec15
- Size of remote file:
- 3.45 kB
- SHA256:
- 585555caeed9c31e26b81bfbe719440f6331bbb452aec261122c1d7a164820ce
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