Token Classification
Transformers
Safetensors
Kyrgyz
xlm-roberta
kyrgyz
baseline
xlm-r-base
kyrgyz-ner
Instructions to use metinovadilet/kyrgyz-ner-xlmr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use metinovadilet/kyrgyz-ner-xlmr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="metinovadilet/kyrgyz-ner-xlmr")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("metinovadilet/kyrgyz-ner-xlmr") model = AutoModelForTokenClassification.from_pretrained("metinovadilet/kyrgyz-ner-xlmr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b8defb137adaf1d7c90c81ea7784a848c8b39c9eac3971bd70d09e449855fd6
- Size of remote file:
- 1.11 GB
- SHA256:
- 52c865a7992a1b3ef44e20e5ca26132a7fe9c0f430209ff870b4b9513a9393b1
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