Instructions to use latofat/uzpostagger-latin-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use latofat/uzpostagger-latin-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="latofat/uzpostagger-latin-3")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("latofat/uzpostagger-latin-3") model = AutoModelForTokenClassification.from_pretrained("latofat/uzpostagger-latin-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5434da70e7732781f824b3989bac34aba6561e85c4de5552b23a9f1341ccea8c
- Size of remote file:
- 4.47 kB
- SHA256:
- 89614ce6b3a8db2ed3ccfe75802604deddffe5bf15461377f3560c99b24b8848
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