Instructions to use murodbek/uzroberta-panx-uz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use murodbek/uzroberta-panx-uz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="murodbek/uzroberta-panx-uz")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("murodbek/uzroberta-panx-uz") model = AutoModelForTokenClassification.from_pretrained("murodbek/uzroberta-panx-uz") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77802485223db8ae275af34ae7bc6b23a5a5b2c2b1c540284846834c70586271
- Size of remote file:
- 3.58 kB
- SHA256:
- 772ec1d1016a27a69a4d805c64a8d4729fee7f961e2554c2f06fc1aab6968028
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