Instructions to use murodbek/xlm-roberta-panx-uz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use murodbek/xlm-roberta-panx-uz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="murodbek/xlm-roberta-panx-uz")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("murodbek/xlm-roberta-panx-uz") model = AutoModelForTokenClassification.from_pretrained("murodbek/xlm-roberta-panx-uz") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e5f7db3fceecd232149f6e768d901d853f30944e29e4c11a31f541e00a753e4
- Size of remote file:
- 3.58 kB
- SHA256:
- d5187daa9284fcf49ed6213823f73d191876cb9453356eed6414f1d487f69aea
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