Instructions to use SmartDataPolito/logprecis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SmartDataPolito/logprecis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="SmartDataPolito/logprecis")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("SmartDataPolito/logprecis") model = AutoModelForTokenClassification.from_pretrained("SmartDataPolito/logprecis") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da238aa5434ff1bc2efb183f214e773f72ad4e56416ca3405d85c3794d5bdb4a
- Size of remote file:
- 496 MB
- SHA256:
- bfc1609f5bb489194da46545ffa5c8f2422ef5ced5b8a736cda72b6db4c8fd82
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