Instructions to use josephloh/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use josephloh/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="josephloh/test")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("josephloh/test") model = AutoModelForTokenClassification.from_pretrained("josephloh/test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9a27c130eaebb796eb6a074e532f84eb2a40e3ab73ef078413742b1d93c889c
- Size of remote file:
- 501 MB
- SHA256:
- d225a1f2cf938294cc561ba6ba538f46b1737e37ea6ce587127cf1c741f714f6
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