Instructions to use summerdevlin46/glot500-multi-ar-hi-ur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use summerdevlin46/glot500-multi-ar-hi-ur with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="summerdevlin46/glot500-multi-ar-hi-ur")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("summerdevlin46/glot500-multi-ar-hi-ur") model = AutoModelForTokenClassification.from_pretrained("summerdevlin46/glot500-multi-ar-hi-ur") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d94f9d96aebe94017fd3ea0747001f74b737d5386d427506c7169fadc895a98
- Size of remote file:
- 5.37 kB
- SHA256:
- 5508c14becbf0750567977a6ce2e59603fd4dd18d6565b93ae1c7e7170acca77
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