Instructions to use fgaim/tiroberta-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fgaim/tiroberta-pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="fgaim/tiroberta-pos")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("fgaim/tiroberta-pos") model = AutoModelForTokenClassification.from_pretrained("fgaim/tiroberta-pos") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43594a67e73fd18270fdab1a4ac72ba402d270863c60f9a3e155b077dc552e2c
- Size of remote file:
- 496 MB
- SHA256:
- af247bf1c599bb00b3e4fb3d9da4ff369054923651aa7cfd0c1399a6006917b5
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